476 to 500 of 778 Machine Learning Jobs in the City of London

governance, and ethical design. Educate stakeholders on emerging AI risks and mitigation strategies. The successful AI Security & Compliance Engineer will have experience in: Strong technical background in AI/ML systems, with experience embedding security and compliance into product design. Expert-level knowledge of Microsoft Purview for data governance, classification, and compliance. Familiarity with AI governance frameworks (e.g., NIST AI More ❯

scalable systems, and design data-driven APIs. Lead technical direction and help shape the product roadmap alongside the founders. Build, test, and deploy AI-powered features, integrating LLMs and ML pipelines directly into the product. Take ownership of technical delivery, from architecture to deployment, across an evolving stack. Collaborate with a small, talented team to rapidly move from idea to More ❯

scalable systems, and design data-driven APIs. Lead technical direction and help shape the product roadmap alongside the founders. Build, test, and deploy AI-powered features, integrating LLMs and ML pipelines directly into the product. Take ownership of technical delivery, from architecture to deployment, across an evolving stack. Collaborate with a small, talented team to rapidly move from idea to More ❯

models with enterprise systems, APIs, and data stores using Python, Java, or Node.js. Collaborate with architects to define scalable, secure, and cost-efficient AI service architectures. Implement AI/ML pipelines for training, validation, and deployment using tools like MLflow, Vertex AI, or Azure ML. Monitor model performance, detect drift, and drive continuous improvement. Optimize inference performance and cost through … Hugging Face Transformers, LangChain, LLM orchestration frameworks, and prompt tuning. Familiarity with RAG pipelines, embedding models, and vector databases. Experience with cloud platforms (AWS, GCP, Azure) and AI/ML services. Knowledge of MLOps tools and practices (e.g., MLflow, Kubeflow, Vertex AI, Azure ML). Strong understanding of data engineering, data pipelines, and ETL workflows. Excellent problem-solving, communication, and … stakeholder engagement skills. Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or related field. Nice-to-Have Skills Description: n/a Languages: English: C1 Advanced More ❯

models with enterprise systems, APIs, and data stores using Python, Java, or Node.js. Collaborate with architects to define scalable, secure, and cost-efficient AI service architectures. Implement AI/ML pipelines for training, validation, and deployment using tools like MLflow, Vertex AI, or Azure ML. Monitor model performance, detect drift, and drive continuous improvement. Optimize inference performance and cost through … Hugging Face Transformers, LangChain, LLM orchestration frameworks, and prompt tuning. -Familiarity with RAG pipelines, embedding models, and vector databases. -Experience with cloud platforms (AWS, GCP, Azure) and AI/ML services. -Knowledge of MLOps tools and practices (e.g., MLflow, Kubeflow, Vertex AI, Azure ML). -Strong understanding of data engineering, data pipelines, and ETL workflows. -Excellent problem-solving, communication, and … stakeholder engagement skills. -Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or related field. 👉Languages: • English: B2 Upper Intermediate More ❯

System Optimisation Engineer | London | Hybrid | Upto £80K DoE Are you an Engineer or recent PhD graduate who has experience in engineering, Optical or AI/ML Systems and test frameworks for the optimisation of AI platforms? Then this might just be the role for you! We are working with a disruptive London-based Computer Networking company who are working on … the cutting edge of AI and Machine learning technology with applications for increased productivity in Data centres and HPCs. Responsibilities: Design automated test frameworks for optical networks using Python, C++ Develop integrated hardware solutions across network systems using hardware instruments, BERTS, Burst-mode test, and oscilloscopes. Engineer optimisation algorithms as part of the test framework platform and metaheuristic … cross-functional teams of hardware, software, embedded and electronic engineers. Skills: Software scripting and Automation experience using Python, C++, C# Experience in generating and scripting algorithms for AI/ML applications, as well as Metaheuristic optimisation. Understanding of cloud-based environments and data pipelines. Degree in either Computer Science, Electrical/Electronic, or related. What’s in it for you More ❯

System Optimisation Engineer | London | Hybrid | Upto £80K DoE Are you an Engineer or recent PhD graduate who has experience in engineering, Optical or AI/ML Systems and test frameworks for the optimisation of AI platforms? Then this might just be the role for you! We are working with a disruptive London-based Computer Networking company who are working on … the cutting edge of AI and Machine learning technology with applications for increased productivity in Data centres and HPCs. Responsibilities: Design automated test frameworks for optical networks using Python, C++ Develop integrated hardware solutions across network systems using hardware instruments, BERTS, Burst-mode test, and oscilloscopes. Engineer optimisation algorithms as part of the test framework platform and metaheuristic … cross-functional teams of hardware, software, embedded and electronic engineers. Skills: Software scripting and Automation experience using Python, C++, C# Experience in generating and scripting algorithms for AI/ML applications, as well as Metaheuristic optimisation. Understanding of cloud-based environments and data pipelines. Degree in either Computer Science, Electrical/Electronic, or related. What’s in it for you More ❯

delivery: collaborating on architecture, writing clean and maintainable code, and driving forward new ideas that improve how users train, perform, and progress. The first month will focus on onboarding, learning the product, and embedding with the team, from there, you’ll take ownership of critical new features and shape the evolution of their tech platform. Tech Stack & Skills Deep … and scalable cloud infrastructure Solid skills in TypeScript and modern JavaScript frameworks Experience building and shipping products end-to-end (ideation > delivery) Interest in or exposure to AI/Machine Learning is a plus (you’ll be working alongside teams exploring adaptive algorithms) What They’re Looking For A Senior Engineer (typically 5+ years’ experience) confident working in … of a mission-driven company making a genuine difference in people’s lives Work in a lean, high-impact engineering culture that values autonomy and creativity Opportunities to explore ML/AI projects and modern AWS-native systems Competitive salary, strong benefits, and hybrid working flexibility Interested? Apply now or reach out directly to discuss the role in confidence. More ❯

delivery: collaborating on architecture, writing clean and maintainable code, and driving forward new ideas that improve how users train, perform, and progress. The first month will focus on onboarding, learning the product, and embedding with the team, from there, you’ll take ownership of critical new features and shape the evolution of their tech platform. Tech Stack & Skills Deep … and scalable cloud infrastructure Solid skills in TypeScript and modern JavaScript frameworks Experience building and shipping products end-to-end (ideation > delivery) Interest in or exposure to AI/Machine Learning is a plus (you’ll be working alongside teams exploring adaptive algorithms) What They’re Looking For A Senior Engineer (typically 5+ years’ experience) confident working in … of a mission-driven company making a genuine difference in people’s lives Work in a lean, high-impact engineering culture that values autonomy and creativity Opportunities to explore ML/AI projects and modern AWS-native systems Competitive salary, strong benefits, and hybrid working flexibility Interested? Apply now or reach out directly to discuss the role in confidence. More ❯

Our client is a leading multi-strategy hedge fund; seeking to hire an AI Engineer to advance their AI and machine learning initiatives across trading, risk, and research functions. This role offers the chance to work on impactful projects in a high-performance, data-driven environment. Responsibilities: Utilise generative AI to process huge amounts of data Build and … to identify high-impact AI opportunities Ensure model scalability, performance, and reliability in live production environments Qualifications: 3+ years of software engineering experience, with recent experience developing AI/ML tools and applications Experience with cloud and on-premises environments; familiarity with high-performance computing is a plus Financial industry experience is a bonus, but not required More ❯

Our client is a leading multi-strategy hedge fund; seeking to hire an AI Engineer to advance their AI and machine learning initiatives across trading, risk, and research functions. This role offers the chance to work on impactful projects in a high-performance, data-driven environment. Responsibilities: Utilise generative AI to process huge amounts of data Build and … to identify high-impact AI opportunities Ensure model scalability, performance, and reliability in live production environments Qualifications: 3+ years of software engineering experience, with recent experience developing AI/ML tools and applications Experience with cloud and on-premises environments; familiarity with high-performance computing is a plus Financial industry experience is a bonus, but not required More ❯

Recruitment Manager - AI, ML and Data (MedTech) Competitive base DOE, up to 40% commission (OTE £250–300k+) London | Hybrid (3 days in office) The hottest seat in Life Sciences recruitment just opened. A high-performing, global recruitment powerhouse is looking for a leader to define the future of AI, Machine Learning, Data Science, and Engineering talent across Europe. … strategy, your revenue stream. Your name stamped on a vertical that could scale into a major market-defining force. Role Highlights The Recruitment Manager will: Run the AI/ML Division for Europe Build and expand client relationships across Biotech, Pharma and Digital Health. Head-hunt senior technical talent in AI, ML, Data Science and Software. Lead, mentor and grow … Play a key role in shaping a high-growth European practice. You Will Need 4 - 8 years full desk recruitment experience Proven track record in Life Science, AI/ML or technology recruitment. Strong leadership skills with experience mentoring or managing recruiters. Confidence in running a 360 desk with consultative BD skills. Ability to engage with senior stakeholders and niche More ❯

We are Qala - an AI-powered startup on a mission to unlock real-time data visibility at source. Our team is building cutting-edge AI systems that combine LLMs, machine learning, and modern cloud architectures to make complex data ecosystems radically transparent and compliant by design. We are VC backed, with live products, and are now expanding our … .NET. Experienced with serverless, or containerised applications, Azure is a bonus. Driven by a good work ethic and a bias toward delivery Comfortable with freedom and autonomy Open to learning, experimenting, and failing fast A team player who communicates clearly and enjoys collaboration Not camera-shy - happy to share progress or demo features Based in the UK or Portugal More ❯

cost management and efficient Databricks resource usage. Integrating data from on-prem and cloud sources using tools like Qlik Replicate (CDC). Supporting future phases involving data science and machine learning enablement. Tech Environment Platform: Azure Core Tools: Databricks, Delta Live Tables, Qlik Replicate (CDC) Architecture: Hybrid (on-prem + cloud) Data Modes: Real-time streaming & batch jobs More ❯

cost management and efficient Databricks resource usage. Integrating data from on-prem and cloud sources using tools like Qlik Replicate (CDC). Supporting future phases involving data science and machine learning enablement. Tech Environment Platform: Azure Core Tools: Databricks, Delta Live Tables, Qlik Replicate (CDC) Architecture: Hybrid (on-prem + cloud) Data Modes: Real-time streaming & batch jobs More ❯

trading experience • Python (NumPy, Pandas, SciPy) • SQL or time-series DBs • Linux & distributed systems expertise • Strong communication & market intuition ✨ Bonus Skills • KDB+/Q, Haskell, or other functional languages • Machine learning (scikit-learn, etc.) • Quant tools & mathematical background • Docker, Kubernetes, AWS 📍 Location : London (1 remote day per week) 💼 Type : Full-time | Competitive comp + performance bonus Ready to More ❯

trading experience • Python (NumPy, Pandas, SciPy) • SQL or time-series DBs • Linux & distributed systems expertise • Strong communication & market intuition ✨ Bonus Skills • KDB+/Q, Haskell, or other functional languages • Machine learning (scikit-learn, etc.) • Quant tools & mathematical background • Docker, Kubernetes, AWS 📍 Location : London (1 remote day per week) 💼 Type : Full-time | Competitive comp + performance bonus Ready to More ❯

Build and edit operational workflows, including front ends and decision-support toolsets, inclusive of native Palantir tooling and integrated front ends Collaborate with team members to implement AI and machine learning models against user problems Close working with clients, building deep and sustainable relationships that positions you/us as their “trusted advisor” You will be part of More ❯

Build and edit operational workflows, including front ends and decision-support toolsets, inclusive of native Palantir tooling and integrated front ends Collaborate with team members to implement AI and machine learning models against user problems Close working with clients, building deep and sustainable relationships that positions you/us as their “trusted advisor” You will be part of More ❯

and overall quality of the mobile experience as the company scales. You will be a key member of a team solving interesting problems at the intersection of user experience, machine learning, and infrastructure. Key Responsibilities Include: Platform Ownership: Drive the architecture and development of the core React Native application, ensuring it is scalable and high-performance. Native Integration More ❯

and overall quality of the mobile experience as the company scales. You will be a key member of a team solving interesting problems at the intersection of user experience, machine learning, and infrastructure. Key Responsibilities Include: Platform Ownership: Drive the architecture and development of the core React Native application, ensuring it is scalable and high-performance. Native Integration More ❯

it to strategic, regulatory and operational objectives • Design and evolve a modern enterprise data architecture that supports analytics, automation and innovation at scale • Lead adoption of artificial intelligence and machine-learning capabilities that enhance resilience, efficiency and customer outcomes • Establish a responsible AI framework, ensuring transparency, governance and regulatory compliance • Partner with technology, digital and transformation leaders to More ❯

it to strategic, regulatory and operational objectives • Design and evolve a modern enterprise data architecture that supports analytics, automation and innovation at scale • Lead adoption of artificial intelligence and machine-learning capabilities that enhance resilience, efficiency and customer outcomes • Establish a responsible AI framework, ensuring transparency, governance and regulatory compliance • Partner with technology, digital and transformation leaders to More ❯

performance-driven, high-trust environment and wants to help build a key international vertical. You’ll join a collaborative, ambitious team passionate about placing top talent across Data, AI, Machine Learning, Cloud, and Data Centre software or hardware technologies. The Role As a Senior Recruitment Consultant, you’ll manage and grow your own desk within the Data and More ❯

drive to turn high-level requirements into production-ready systems. Nice to Have Familiarity with Python for research and C++ integration. Direct collaboration experience with quant researchers. Knowledge of machine learning concepts and model lifecycles. Exposure to functional programming or immutable design principles. Hands-on experience with Cython or bridging C++ and Python stacks. Why Join High impact More ❯