Science Architect will assess the maturity and effectiveness of data science practices across teams, focusing on how data science is structured, executed, and governed within the organization. Unlike the AI Architect, who evaluates individual AI capability, and the Data & AI Architect, who focuses on technical systems and platform maturity, this role centers on evaluating analytical workflows, modeling standards, experimentation culture … used for data science, including reproducibility and collaboration readiness. • Benchmarking: Define benchmarks for best practices in experimentation, automation, and applied machine learning operations (MLOps). • Collaboration & Alignment: Work with AI and Data & AI Architects to connect findings from people, platform, and practice assessments into a unified capability map. • Gap Identification: Identify gaps in model governance, documentation, and model-to-business … data science, machine learning, or analytics leadership. • Strong understanding of model lifecycle management, experimentation frameworks, and data science governance. • Familiarity with MLOps concepts and tooling (e.g., MLflow, Kubeflow, Vertex AI, SageMaker, Azure ML). • Hands-on experience with data science tools and languages such as Python, R, SQL, and relevant frameworks (e.g., scikit-learn, TensorFlow, PyTorch). • Proven ability to More ❯
Science Architect will assess the maturity and effectiveness of data science practices across teams, focusing on how data science is structured, executed, and governed within the organization. Unlike the AI Architect, who evaluates individual AI capability, and the Data & AI Architect, who focuses on technical systems and platform maturity, this role centers on evaluating analytical workflows, modeling standards, experimentation culture … used for data science, including reproducibility and collaboration readiness. Benchmarking: Define benchmarks for best practices in experimentation, automation, and applied machine learning operations (MLOps). Collaboration & Alignment: Work with AI and Data & AI Architects to connect findings from people, platform, and practice assessments into a unified capability map. Gap Identification: Identify gaps in model governance, documentation, and model-to-business … data science, machine learning, or analytics leadership. Strong understanding of model lifecycle management, experimentation frameworks, and data science governance. Familiarity with MLOps concepts and tooling (e.g., MLflow, Kubeflow, Vertex AI, SageMaker, Azure ML). Hands-on experience with data science tools and languages such as Python, R, SQL, and relevant frameworks (e.g., scikit-learn, TensorFlow, PyTorch). Proven ability to More ❯
Senior Python Engineer London We're partnering with a high-growth AI startup that's building intelligent automation systems designed to simplify complex, real-world operations. Their platform is already redefining how data, workflow, and human decision-making come together - and they're scaling fast. If you're excited by the idea of joining an elite engineering team tackling deep … technical problems in AI, automation, and scalable software systems, this could be the role for you. The Role: As a Senior Python Engineer , you'll take ownership of backend design and development, helping to shape the architecture behind cutting-edge AI-driven platforms. You'll work closely with AI and product teams to bring intelligent features into production - solving high … impact problems with clean, scalable code. Responsibilities: Architect, design, and build robust backend systems and APIs using Python. Collaborate with AI and data teams to integrate models into production environments. Optimise and scale distributed systems and data pipelines for performance and reliability. Contribute to overall technical strategy, code reviews, and system architecture discussions. Work cross-functionally with design and product More ❯
Science Architect will assess the maturity and effectiveness of data science practices across teams, focusing on how data science is structured, executed, and governed within the organization. Unlike the AI Architect, who evaluates individual AI capability, and the Data & AI Architect, who focuses on technical systems and platform maturity, this role centers on evaluating analytical workflows, modeling standards, experimentation culture … used for data science, including reproducibility and collaboration readiness. • Benchmarking: Define benchmarks for best practices in experimentation, automation, and applied machine learning operations (MLOps). • Collaboration & Alignment: Work with AI and Data & AI Architects to connect findings from people, platform, and practice assessments into a unified capability map. • Gap Identification: Identify gaps in model governance, documentation, and model-to-business … data science, machine learning, or analytics leadership. • Strong understanding of model lifecycle management, experimentation frameworks, and data science governance. • Familiarity with MLOps concepts and tooling (e.g., MLflow, Kubeflow, Vertex AI, SageMaker, Azure ML). • Hands-on experience with data science tools and languages such as Python, R, SQL, and relevant frameworks (e.g., scikit-learn, TensorFlow, PyTorch). • Proven ability to More ❯
Science Architect will assess the maturity and effectiveness of data science practices across teams, focusing on how data science is structured, executed, and governed within the organization. Unlike the AI Architect, who evaluates individual AI capability, and the Data & AI Architect, who focuses on technical systems and platform maturity, this role centers on evaluating analytical workflows, modeling standards, experimentation culture … used for data science, including reproducibility and collaboration readiness. Benchmarking: Define benchmarks for best practices in experimentation, automation, and applied machine learning operations (MLOps). Collaboration & Alignment: Work with AI and Data & AI Architects to connect findings from people, platform, and practice assessments into a unified capability map. Gap Identification: Identify gaps in model governance, documentation, and model-to-business … data science, machine learning, or analytics leadership. Strong understanding of model lifecycle management, experimentation frameworks, and data science governance. Familiarity with MLOps concepts and tooling (e.g., MLflow, Kubeflow, Vertex AI, SageMaker, Azure ML). Hands-on experience with data science tools and languages such as Python, R, SQL, and relevant frameworks (e.g., scikit-learn, TensorFlow, PyTorch). Proven ability to More ❯
Science Architect will assess the maturity and effectiveness of data science practices across teams, focusing on how data science is structured, executed, and governed within the organization. Unlike the AI Architect, who evaluates individual AI capability, and the Data & AI Architect, who focuses on technical systems and platform maturity, this role centers on evaluating analytical workflows, modeling standards, experimentation culture … used for data science, including reproducibility and collaboration readiness. • Benchmarking: Define benchmarks for best practices in experimentation, automation, and applied machine learning operations (MLOps). • Collaboration & Alignment: Work with AI and Data & AI Architects to connect findings from people, platform, and practice assessments into a unified capability map. • Gap Identification: Identify gaps in model governance, documentation, and model-to-business … data science, machine learning, or analytics leadership. • Strong understanding of model lifecycle management, experimentation frameworks, and data science governance. • Familiarity with MLOps concepts and tooling (e.g., MLflow, Kubeflow, Vertex AI, SageMaker, Azure ML). • Hands-on experience with data science tools and languages such as Python, R, SQL, and relevant frameworks (e.g., scikit-learn, TensorFlow, PyTorch). • Proven ability to More ❯
Senior Python Engineer | London We’re partnering with a high-growth AI startup that’s building intelligent automation systems designed to simplify complex, real-world operations. Their platform is already redefining how data, workflow, and human decision-making come together — and they’re scaling fast. If you’re excited by the idea of joining an elite engineering team tackling deep … technical problems in AI, automation, and scalable software systems, this could be the role for you. The Role: As a Senior Python Engineer , you’ll take ownership of backend design and development, helping to shape the architecture behind cutting-edge AI-driven platforms. You’ll work closely with AI and product teams to bring intelligent features into production — solving high … impact problems with clean, scalable code. Responsibilities: Architect, design, and build robust backend systems and APIs using Python. Collaborate with AI and data teams to integrate models into production environments. Optimise and scale distributed systems and data pipelines for performance and reliability. Contribute to overall technical strategy, code reviews, and system architecture discussions. Work cross-functionally with design and product More ❯
Science Architect will assess the maturity and effectiveness of data science practices across teams, focusing on how data science is structured, executed, and governed within the organization. Unlike the AI Architect, who evaluates individual AI capability, and the Data & AI Architect, who focuses on technical systems and platform maturity, this role centers on evaluating analytical workflows, modeling standards, experimentation culture … used for data science, including reproducibility and collaboration readiness. • Benchmarking: Define benchmarks for best practices in experimentation, automation, and applied machine learning operations (MLOps). • Collaboration & Alignment: Work with AI and Data & AI Architects to connect findings from people, platform, and practice assessments into a unified capability map. • Gap Identification: Identify gaps in model governance, documentation, and model-to-business … data science, machine learning, or analytics leadership. • Strong understanding of model lifecycle management, experimentation frameworks, and data science governance. • Familiarity with MLOps concepts and tooling (e.g., MLflow, Kubeflow, Vertex AI, SageMaker, Azure ML). • Hands-on experience with data science tools and languages such as Python, R, SQL, and relevant frameworks (e.g., scikit-learn, TensorFlow, PyTorch). • Proven ability to More ❯
Science Architect will assess the maturity and effectiveness of data science practices across teams, focusing on how data science is structured, executed, and governed within the organization. Unlike the AI Architect, who evaluates individual AI capability, and the Data & AI Architect, who focuses on technical systems and platform maturity, this role centers on evaluating analytical workflows, modeling standards, experimentation culture … used for data science, including reproducibility and collaboration readiness. • Benchmarking: Define benchmarks for best practices in experimentation, automation, and applied machine learning operations (MLOps). • Collaboration & Alignment: Work with AI and Data & AI Architects to connect findings from people, platform, and practice assessments into a unified capability map. • Gap Identification: Identify gaps in model governance, documentation, and model-to-business … data science, machine learning, or analytics leadership. • Strong understanding of model lifecycle management, experimentation frameworks, and data science governance. • Familiarity with MLOps concepts and tooling (e.g., MLflow, Kubeflow, Vertex AI, SageMaker, Azure ML). • Hands-on experience with data science tools and languages such as Python, R, SQL, and relevant frameworks (e.g., scikit-learn, TensorFlow, PyTorch). • Proven ability to More ❯
Senior Python Engineer | London We’re partnering with a high-growth AI startup that’s building intelligent automation systems designed to simplify complex, real-world operations. Their platform is already redefining how data, workflow, and human decision-making come together — and they’re scaling fast. If you’re excited by the idea of joining an elite engineering team tackling deep … technical problems in AI, automation, and scalable software systems, this could be the role for you. The Role: As a Senior Python Engineer , you’ll take ownership of backend design and development, helping to shape the architecture behind cutting-edge AI-driven platforms. You’ll work closely with AI and product teams to bring intelligent features into production — solving high … impact problems with clean, scalable code. Responsibilities: Architect, design, and build robust backend systems and APIs using Python. Collaborate with AI and data teams to integrate models into production environments. Optimise and scale distributed systems and data pipelines for performance and reliability. Contribute to overall technical strategy, code reviews, and system architecture discussions. Work cross-functionally with design and product More ❯
london (city of london), south east england, united kingdom
Experis UK
Senior Python Engineer | London We’re partnering with a high-growth AI startup that’s building intelligent automation systems designed to simplify complex, real-world operations. Their platform is already redefining how data, workflow, and human decision-making come together — and they’re scaling fast. If you’re excited by the idea of joining an elite engineering team tackling deep … technical problems in AI, automation, and scalable software systems, this could be the role for you. The Role: As a Senior Python Engineer , you’ll take ownership of backend design and development, helping to shape the architecture behind cutting-edge AI-driven platforms. You’ll work closely with AI and product teams to bring intelligent features into production — solving high … impact problems with clean, scalable code. Responsibilities: Architect, design, and build robust backend systems and APIs using Python. Collaborate with AI and data teams to integrate models into production environments. Optimise and scale distributed systems and data pipelines for performance and reliability. Contribute to overall technical strategy, code reviews, and system architecture discussions. Work cross-functionally with design and product More ❯
Science Architect will assess the maturity and effectiveness of data science practices across teams, focusing on how data science is structured, executed, and governed within the organization. Unlike the AI Architect, who evaluates individual AI capability, and the Data & AI Architect, who focuses on technical systems and platform maturity, this role centers on evaluating analytical workflows, modeling standards, experimentation culture … used for data science, including reproducibility and collaboration readiness. • Benchmarking: Define benchmarks for best practices in experimentation, automation, and applied machine learning operations (MLOps). • Collaboration & Alignment: Work with AI and Data & AI Architects to connect findings from people, platform, and practice assessments into a unified capability map. • Gap Identification: Identify gaps in model governance, documentation, and model-to-business … data science, machine learning, or analytics leadership. • Strong understanding of model lifecycle management, experimentation frameworks, and data science governance. • Familiarity with MLOps concepts and tooling (e.g., MLflow, Kubeflow, Vertex AI, SageMaker, Azure ML). • Hands-on experience with data science tools and languages such as Python, R, SQL, and relevant frameworks (e.g., scikit-learn, TensorFlow, PyTorch). • Proven ability to More ❯
Software Engineer Term: 6 Months Pay: £888 per day Inside IR35 Location: Kings Cross London Hybrid Our client see a world in which advanced applications of Machine Learning and AI will allow us to develop novel therapies to existing diseases and to quickly respond to emerging or changing diseases with personalized drugs, driving better outcomes at reduced cost with fewer … side effects. It is an ambitious vision that will require the development of products and solutions at the cutting edge of Machine Learning and AI, as well as extensive safety and robustness evaluations. We’re looking for a highly skilled machine learning engineer to help us make this vision a reality. Competitive candidates will have a track record of writing … and shipping quality, well-documented and well-tested software in the AI/ML industry. We are looking for candidates with experience in the field of Responsible AI, preferably for generative AI or language applications. In addition to ML engineering and data science skills, ideal candidates will demonstrate a keen interest in ethical and safety aspects of using AI in More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Undisclosed
Software Engineer Term: 6 Months Pay: £888 per day Inside IR35 Location: Kings Cross London Hybrid Our client see a world in which advanced applications of Machine Learning and AI will allow us to develop novel therapies to existing diseases and to quickly respond to emerging or changing diseases with personalized drugs, driving better outcomes at reduced cost with fewer … side effects. It is an ambitious vision that will require the development of products and solutions at the cutting edge of Machine Learning and AI, as well as extensive safety and robustness evaluations. We’re looking for a highly skilled machine learning engineer to help us make this vision a reality. Competitive candidates will have a track record of writing … and shipping quality, well-documented and well-tested software in the AI/ML industry. We are looking for candidates with experience in the field of Responsible AI, preferably for generative AI or language applications. In addition to ML engineering and data science skills, ideal candidates will demonstrate a keen interest in ethical and safety aspects of using AI in More ❯
City Of London, England, United Kingdom Hybrid / WFH Options
Undisclosed
Software Engineer Term: 6 Months Pay: £888 per day Inside IR35 Location: Kings Cross London Hybrid Our client see a world in which advanced applications of Machine Learning and AI will allow us to develop novel therapies to existing diseases and to quickly respond to emerging or changing diseases with personalized drugs, driving better outcomes at reduced cost with fewer … side effects. It is an ambitious vision that will require the development of products and solutions at the cutting edge of Machine Learning and AI, as well as extensive safety and robustness evaluations. We’re looking for a highly skilled machine learning engineer to help us make this vision a reality. Competitive candidates will have a track record of writing … and shipping quality, well-documented and well-tested software in the AI/ML industry. We are looking for candidates with experience in the field of Responsible AI, preferably for generative AI or language applications. In addition to ML engineering and data science skills, ideal candidates will demonstrate a keen interest in ethical and safety aspects of using AI in More ❯
london, south east england, united kingdom Hybrid / WFH Options
Undisclosed
Software Engineer Term: 6 Months Pay: £888 per day Inside IR35 Location: Kings Cross London Hybrid Our client see a world in which advanced applications of Machine Learning and AI will allow us to develop novel therapies to existing diseases and to quickly respond to emerging or changing diseases with personalized drugs, driving better outcomes at reduced cost with fewer … side effects. It is an ambitious vision that will require the development of products and solutions at the cutting edge of Machine Learning and AI, as well as extensive safety and robustness evaluations. We’re looking for a highly skilled machine learning engineer to help us make this vision a reality. Competitive candidates will have a track record of writing … and shipping quality, well-documented and well-tested software in the AI/ML industry. We are looking for candidates with experience in the field of Responsible AI, preferably for generative AI or language applications. In addition to ML engineering and data science skills, ideal candidates will demonstrate a keen interest in ethical and safety aspects of using AI in More ❯
slough, south east england, united kingdom Hybrid / WFH Options
Undisclosed
Software Engineer Term: 6 Months Pay: £888 per day Inside IR35 Location: Kings Cross London Hybrid Our client see a world in which advanced applications of Machine Learning and AI will allow us to develop novel therapies to existing diseases and to quickly respond to emerging or changing diseases with personalized drugs, driving better outcomes at reduced cost with fewer … side effects. It is an ambitious vision that will require the development of products and solutions at the cutting edge of Machine Learning and AI, as well as extensive safety and robustness evaluations. We’re looking for a highly skilled machine learning engineer to help us make this vision a reality. Competitive candidates will have a track record of writing … and shipping quality, well-documented and well-tested software in the AI/ML industry. We are looking for candidates with experience in the field of Responsible AI, preferably for generative AI or language applications. In addition to ML engineering and data science skills, ideal candidates will demonstrate a keen interest in ethical and safety aspects of using AI in More ❯
london (city of london), south east england, united kingdom Hybrid / WFH Options
Undisclosed
Software Engineer Term: 6 Months Pay: £888 per day Inside IR35 Location: Kings Cross London Hybrid Our client see a world in which advanced applications of Machine Learning and AI will allow us to develop novel therapies to existing diseases and to quickly respond to emerging or changing diseases with personalized drugs, driving better outcomes at reduced cost with fewer … side effects. It is an ambitious vision that will require the development of products and solutions at the cutting edge of Machine Learning and AI, as well as extensive safety and robustness evaluations. We’re looking for a highly skilled machine learning engineer to help us make this vision a reality. Competitive candidates will have a track record of writing … and shipping quality, well-documented and well-tested software in the AI/ML industry. We are looking for candidates with experience in the field of Responsible AI, preferably for generative AI or language applications. In addition to ML engineering and data science skills, ideal candidates will demonstrate a keen interest in ethical and safety aspects of using AI in More ❯
london, south east england, united kingdom Hybrid / WFH Options
Undisclosed
Software Engineer Term: 6 Months Pay: £888 per day Inside IR35 Location: Kings Cross London Hybrid Our client see a world in which advanced applications of Machine Learning and AI will allow us to develop novel therapies to existing diseases and to quickly respond to emerging or changing diseases with personalized drugs, driving better outcomes at reduced cost with fewer … side effects. It is an ambitious vision that will require the development of products and solutions at the cutting edge of Machine Learning and AI, as well as extensive safety and robustness evaluations. We’re looking for a highly skilled machine learning engineer to help us make this vision a reality. Competitive candidates will have a track record of writing … and shipping quality, well-documented and well-tested software in the AI/ML industry. We are looking for candidates with experience in the field of Responsible AI, preferably for generative AI or language applications. In addition to ML engineering and data science skills, ideal candidates will demonstrate a keen interest in ethical and safety aspects of using AI in More ❯
london (city of london), south east england, united kingdom Hybrid / WFH Options
Undisclosed
Software Engineer Term: 6 Months Pay: £888 per day Inside IR35 Location: Kings Cross London Hybrid Our client see a world in which advanced applications of Machine Learning and AI will allow us to develop novel therapies to existing diseases and to quickly respond to emerging or changing diseases with personalized drugs, driving better outcomes at reduced cost with fewer … side effects. It is an ambitious vision that will require the development of products and solutions at the cutting edge of Machine Learning and AI, as well as extensive safety and robustness evaluations. We’re looking for a highly skilled machine learning engineer to help us make this vision a reality. Competitive candidates will have a track record of writing … and shipping quality, well-documented and well-tested software in the AI/ML industry. We are looking for candidates with experience in the field of Responsible AI, preferably for generative AI or language applications. In addition to ML engineering and data science skills, ideal candidates will demonstrate a keen interest in ethical and safety aspects of using AI in More ❯
Software Engineering to lead the build and scale of its technology function. This is a rare opportunity to shape the engineering vision, drive innovation, and help deliver next-generation AI-augmented software products in a high-growth, well-funded environment. Role: Director of Software Engineering Salary: Competitive (dependent on experience) Location: Guildford – Full-time, 5 days per week onsite What … you’ll be doing: Build and lead a high-performing engineering team focused on delivering scalable SaaS and digital products Drive innovation by embedding AI into both product functionality and engineering processes Partner with Product, Data, and AI teams to deliver a cohesive technology roadmap with regular release cycles Oversee the full software development lifecycle, ensuring performance, quality, and security … digital product environment , ideally scaling from start-up to high-growth Deep technical expertise in C#, .NET Core, Angular, SQL, and Azure (or equivalent cloud platforms) Strong understanding of AI/ML integration and how it can enhance both products and engineering delivery Background in modernising engineering practices and introducing automation, CI/CD, and agile methodologies Experienced in leading More ❯
Software Engineering to lead the build and scale of its technology function. This is a rare opportunity to shape the engineering vision, drive innovation, and help deliver next-generation AI-augmented software products in a high-growth, well-funded environment. Role: Director of Software Engineering Salary: Competitive (dependent on experience) Location: Guildford – Full-time, 5 days per week onsite What … you’ll be doing: Build and lead a high-performing engineering team focused on delivering scalable SaaS and digital products Drive innovation by embedding AI into both product functionality and engineering processes Partner with Product, Data, and AI teams to deliver a cohesive technology roadmap with regular release cycles Oversee the full software development lifecycle, ensuring performance, quality, and security … digital product environment , ideally scaling from start-up to high-growth Deep technical expertise in C#, .NET Core, Angular, SQL, and Azure (or equivalent cloud platforms) Strong understanding of AI/ML integration and how it can enhance both products and engineering delivery Background in modernising engineering practices and introducing automation, CI/CD, and agile methodologies Experienced in leading More ❯
week) £145,000 + Car Allowance + 18% Bonus + Equity Are you an accomplished product leader ready to define how world-class compute, infrastructure, and DevOps platforms power AI and scientific discovery at global scale? We’re partnering with a pioneering research-driven organisation investing heavily in AI, ML, and next-generation cloud infrastructure , now seeking a Director of … lead a portfolio that underpins one of the world’s most advanced digital R&D ecosystems. 💡 Why this role? Lead the product strategy and roadmap for platform services enabling AI, ML, and data-driven science. Build and mentor a team of high-performing Product Managers , setting standards for excellence and delivery. Collaborate with engineering, data science, and research leaders to … ll be doing: Defining and executing the platform product roadmap across compute, DevOps, and cloud infrastructure. Partnering with engineering leadership to deliver scalable platform products that enable scientific and AI workloads. Establishing clear goals, metrics, and success criteria for adoption, performance, and business impact. Acting as the senior stakeholder interface, communicating technical strategies to executive and business audiences. Driving product More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Harnham
week) £145,000 + Car Allowance + 18% Bonus + Equity Are you an accomplished product leader ready to define how world-class compute, infrastructure, and DevOps platforms power AI and scientific discovery at global scale? We’re partnering with a pioneering research-driven organisation investing heavily in AI, ML, and next-generation cloud infrastructure , now seeking a Director of … lead a portfolio that underpins one of the world’s most advanced digital R&D ecosystems. 💡 Why this role? Lead the product strategy and roadmap for platform services enabling AI, ML, and data-driven science. Build and mentor a team of high-performing Product Managers , setting standards for excellence and delivery. Collaborate with engineering, data science, and research leaders to … ll be doing: Defining and executing the platform product roadmap across compute, DevOps, and cloud infrastructure. Partnering with engineering leadership to deliver scalable platform products that enable scientific and AI workloads. Establishing clear goals, metrics, and success criteria for adoption, performance, and business impact. Acting as the senior stakeholder interface, communicating technical strategies to executive and business audiences. Driving product More ❯
week) £145,000 + Car Allowance + 18% Bonus + Equity Are you an accomplished product leader ready to define how world-class compute, infrastructure, and DevOps platforms power AI and scientific discovery at global scale? We're partnering with a pioneering research-driven organisation investing heavily in AI, ML, and next-generation cloud infrastructure , now seeking a Director of … lead a portfolio that underpins one of the world's most advanced digital R&D ecosystems. Why this role? Lead the product strategy and roadmap for platform services enabling AI, ML, and data-driven science. Build and mentor a team of high-performing Product Managers , setting standards for excellence and delivery. Collaborate with engineering, data science, and research leaders to … ll be doing: Defining and executing the platform product roadmap across compute, DevOps, and cloud infrastructure. Partnering with engineering leadership to deliver scalable platform products that enable scientific and AI workloads. Establishing clear goals, metrics, and success criteria for adoption, performance, and business impact. Acting as the senior stakeholder interface, communicating technical strategies to executive and business audiences. Driving product More ❯
