1,826 to 1,850 of 2,917 Data Science Jobs in the UK

/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 drug discovery and the clinic. The Responsible AI team is … be committed to your career and development from day one. Key responsibilities Back end development for a Python web application Integration of AI/ML components with frontend, backend, data and compute infrastructure Responsible for high quality software implementations according to best practices, including automated test suites and documentation Develop, measure, and monitor key metrics for all tools and … seek to iterate on and improve them Participate in code reviews, continuously improving personal standards as well as the wider team and product Liaise with other technical staff and data engineers in the team and across allied teams, to build an end-to-end pipeline consuming other data products Basic qualifications: Demonstrated experience of Python backend development (e.g. More ❯

CUDA C . Strong knowledge of GPU programming , memory management , and performance optimisation . Experience dockerising applications and working with container-based workflows. Experience building and integrating APIs for data or ML services. Strong understanding of machine learning pipelines and integration between data science and production environments. UK-based and available for remote contract work. Desirable: Experience More ❯

CUDA C . Strong knowledge of GPU programming , memory management , and performance optimisation . Experience dockerising applications and working with container-based workflows. Experience building and integrating APIs for data or ML services. Strong understanding of machine learning pipelines and integration between data science and production environments. UK-based and available for remote contract work. Desirable: Experience More ❯

About Us: Solytics Partners is a Global Analytics firm dedicated to revolutionizing Banking and Financial Services. We leverage cutting-edge technology and data-driven strategies to deliver exceptional value to our clients and enable them in their digital transformation journey through our suite of advanced analytics platforms and solutions for risk management, AML and regulatory compliance, ESG, and data science and analytics. Job Summary: We are looking for an experienced DevOps Engineer with a strong background in system administration and a deep understanding of Kubernetes and Anthos. The ideal candidate will have extensive experience with Linux OS and cloud platforms (preferably GCP, with AWS or Azure as alternatives). You will be instrumental in managing our on More ❯

About Us: Solytics Partners is a Global Analytics firm dedicated to revolutionizing Banking and Financial Services. We leverage cutting-edge technology and data-driven strategies to deliver exceptional value to our clients and enable them in their digital transformation journey through our suite of advanced analytics platforms and solutions for risk management, AML and regulatory compliance, ESG, and data science and analytics. Job Summary: We are looking for an experienced DevOps Engineer with a strong background in system administration and a deep understanding of Kubernetes and Anthos. The ideal candidate will have extensive experience with Linux OS and cloud platforms (preferably GCP, with AWS or Azure as alternatives). You will be instrumental in managing our on More ❯

About Us: Solytics Partners is a Global Analytics firm dedicated to revolutionizing Banking and Financial Services. We leverage cutting-edge technology and data-driven strategies to deliver exceptional value to our clients and enable them in their digital transformation journey through our suite of advanced analytics platforms and solutions for risk management, AML and regulatory compliance, ESG, and data science and analytics. Job Summary: We are looking for an experienced DevOps Engineer with a strong background in system administration and a deep understanding of Kubernetes and Anthos. The ideal candidate will have extensive experience with Linux OS and cloud platforms (preferably GCP, with AWS or Azure as alternatives). You will be instrumental in managing our on More ❯

About Us: Solytics Partners is a Global Analytics firm dedicated to revolutionizing Banking and Financial Services. We leverage cutting-edge technology and data-driven strategies to deliver exceptional value to our clients and enable them in their digital transformation journey through our suite of advanced analytics platforms and solutions for risk management, AML and regulatory compliance, ESG, and data science and analytics. Job Summary: We are looking for an experienced DevOps Engineer with a strong background in system administration and a deep understanding of Kubernetes and Anthos. The ideal candidate will have extensive experience with Linux OS and cloud platforms (preferably GCP, with AWS or Azure as alternatives). You will be instrumental in managing our on More ❯

About Us: Solytics Partners is a Global Analytics firm dedicated to revolutionizing Banking and Financial Services. We leverage cutting-edge technology and data-driven strategies to deliver exceptional value to our clients and enable them in their digital transformation journey through our suite of advanced analytics platforms and solutions for risk management, AML and regulatory compliance, ESG, and data science and analytics. Job Summary: We are looking for an experienced DevOps Engineer with a strong background in system administration and a deep understanding of Kubernetes and Anthos. The ideal candidate will have extensive experience with Linux OS and cloud platforms (preferably GCP, with AWS or Azure as alternatives). You will be instrumental in managing our on More ❯

an AI Engineer on a contract basis. Outside IR35. Hybrid working - London based. Role * The AI Engineer will design, develop, and implement AI and machine learning solutions to support data-driven decision-making and business innovation in pharmaceuticals.* Collaborate with data scientists, data engineers, and business analysts to build scalable AI models for research, development, and commercial … operations.* Develop, test, and optimise machine learning algorithms and predictive models relevant to pharmaceutical data.* Integrate AI models with existing data pipelines, laboratory systems, and business applications.* Ensure the reliability, scalability, and performance of AI systems across multiple platforms.* Maintain clear documentation and contribute to best practices in model governance, regulatory compliance, and MLOps.* Stay abreast of industry trends … Proficient in Python and familiar with key libraries such as TensorFlow, PyTorch, and scikit-learn.* Experience working with cloud platforms such as Azure, AWS, or GCP, ideally within a data engineering or MLOps context.* Strong understanding of data processing, feature engineering, and model evaluation techniques, with experience handling complex scientific datasets.* Excellent problem-solving and analytical skills, with More ❯

Over this two-year programme, you’ll work with our Data Analytics, Insight & Reporting team, gaining hands-on experience in data analysis, visualisation, and reporting. We’ll support you through a Level 3 Data Technician apprenticeship, helping you build a strong foundation for a career in data. Role As a Data Technician Apprentice, you’ll rotate … across teams including Data Analytics, Standards & Innovation, and Research & Evaluation, gaining hands-on experience and developing core data skills across a range of projects. Data Analytics - Develop and deliver analyses using tools like Excel and Power BI, clean and prepare datasets, and respond to ad hoc requests by producing clear, user-friendly insights. Standards & Innovation - Support regulatory … data returns and contribute to quality control practices, ensuring data processes meet compliance standards and drive continuous improvement. Research & Evaluation - Work alongside Data Scientists and Psychometricians to understand statistical methods and help build predictive models. Support research projects using both quantitative and qualitative data to generate meaningful findings. Training Progress to a full time career Apprenticeship More ❯

team. Equity options 25 days holiday + bank Pension matched to 7% Work abroad for up to 3 months Are you looking to be part of a world-class data lead organisation who are continuously moving forward with the latest AI trends? This company is a true innovator in building data driven products using machine learning, computer vision … natural language processing, speech and audio, and knowledge/data mining. This person will be a senior engineer who will help both define and build the companies. In the role you will be building large scale machine learning systems, apply the latest techniques whilst working with an elite team of researchers and engineers. No day will be the same … rest of the team and organisation. What do you need? Not necessarily the title, we know in the world of AI Engineering you may come from a background of data science, engineering, machine learning although what is key is that you will be deeply involved with productionising and deploying. Strong Python, SQL and programming skills Hands on experience More ❯

team. Equity options 25 days holiday + bank Pension matched to 7% Work abroad for up to 3 months Are you looking to be part of a world-class data lead organisation who are continuously moving forward with the latest AI trends? This company is a true innovator in building data driven products using machine learning, computer vision … natural language processing, speech and audio, and knowledge/data mining. This person will be a senior engineer who will help both define and build the companies. In the role you will be building large scale machine learning systems, apply the latest techniques whilst working with an elite team of researchers and engineers. No day will be the same … rest of the team and organisation. What do you need? Not necessarily the title, we know in the world of AI Engineering you may come from a background of data science, engineering, machine learning although what is key is that you will be deeply involved with productionising and deploying. Strong Python, SQL and programming skills Hands on experience More ❯

team. Equity options 25 days holiday + bank Pension matched to 7% Work abroad for up to 3 months Are you looking to be part of a world-class data lead organisation who are continuously moving forward with the latest AI trends? This company is a true innovator in building data driven products using machine learning, computer vision … natural language processing, speech and audio, and knowledge/data mining. This person will be a senior engineer who will help both define and build the companies. In the role you will be building large scale machine learning systems, apply the latest techniques whilst working with an elite team of researchers and engineers. No day will be the same … rest of the team and organisation. What do you need? Not necessarily the title, we know in the world of AI Engineering you may come from a background of data science, engineering, machine learning although what is key is that you will be deeply involved with productionising and deploying. Strong Python, SQL and programming skills Hands on experience More ❯

team. Equity options 25 days holiday + bank Pension matched to 7% Work abroad for up to 3 months Are you looking to be part of a world-class data lead organisation who are continuously moving forward with the latest AI trends? This company is a true innovator in building data driven products using machine learning, computer vision … natural language processing, speech and audio, and knowledge/data mining. This person will be a senior engineer who will help both define and build the companies. In the role you will be building large scale machine learning systems, apply the latest techniques whilst working with an elite team of researchers and engineers. No day will be the same … rest of the team and organisation. What do you need? Not necessarily the title, we know in the world of AI Engineering you may come from a background of data science, engineering, machine learning although what is key is that you will be deeply involved with productionising and deploying. Strong Python, SQL and programming skills Hands on experience More ❯

team. Equity options 25 days holiday + bank Pension matched to 7% Work abroad for up to 3 months Are you looking to be part of a world-class data lead organisation who are continuously moving forward with the latest AI trends? This company is a true innovator in building data driven products using machine learning, computer vision … natural language processing, speech and audio, and knowledge/data mining. This person will be a senior engineer who will help both define and build the companies. In the role you will be building large scale machine learning systems, apply the latest techniques whilst working with an elite team of researchers and engineers. No day will be the same … rest of the team and organisation. What do you need? Not necessarily the title, we know in the world of AI Engineering you may come from a background of data science, engineering, machine learning although what is key is that you will be deeply involved with productionising and deploying. Strong Python, SQL and programming skills Hands on experience More ❯

ideas into working prototypes.We’re looking for a Software Engineer who can work across the full stack and bring ideas to life alongside Product Managers, Machine Learning Engineers and Data Scientists. You’ll be part of a small, agile team delivering 4–6 week AI projects that explore the next generation of intelligent applications. What you’ll be doing … and deploy custom GenAI applications using modern cloud tech (AWS, Python, CI/CD). Own API development, database design, and infrastructure deployment via Terraform or CloudFormation. Collaborate with data science teams to integrate AI models and APIs (AWS Bedrock, LangGraph, Azure GPT, etc.). Occasionally support lightweight front-end work (React/Python). Work in agile More ❯

build and support systematic trading models. The successful fullstack python/typescript developer will write high-quality asynchronous Python code to interact with external websites and APIs, build responsive, data-rich frontend features using React and TypeScript, participate in architectural discussions and propose platform improvements, work in a Linux environment using Docker and Kubernetes and follow Agile practices using … or similar relational databases Proficiency with HTML5, CSS3, and modern frontend build tools Strong Linux and Git skills Desirable skills: AWS or cloud platform experience WebSocket and real-time data handling DevOps tooling (Docker, Kubernetes, Ansible) Data science packages (pandas, numpy, matplotlib) Modern C++ knowledge (C++17 and later) Interest in sports betting, financial services or trading platforms More ❯

build and support systematic trading models. The successful fullstack python/typescript developer will write high-quality asynchronous Python code to interact with external websites and APIs, build responsive, data-rich frontend features using React and TypeScript, participate in architectural discussions and propose platform improvements, work in a Linux environment using Docker and Kubernetes and follow Agile practices using … or similar relational databases Proficiency with HTML5, CSS3, and modern frontend build tools Strong Linux and Git skills Desirable skills: AWS or cloud platform experience WebSocket and real-time data handling DevOps tooling (Docker, Kubernetes, Ansible) Data science packages (pandas, numpy, matplotlib) Modern C++ knowledge (C++17 and later) Interest in sports betting, financial services or trading platforms More ❯

build and support systematic trading models. The successful fullstack python/typescript developer will write high-quality asynchronous Python code to interact with external websites and APIs, build responsive, data-rich frontend features using React and TypeScript, participate in architectural discussions and propose platform improvements, work in a Linux environment using Docker and Kubernetes and follow Agile practices using … or similar relational databases Proficiency with HTML5, CSS3, and modern frontend build tools Strong Linux and Git skills Desirable skills: AWS or cloud platform experience WebSocket and real-time data handling DevOps tooling (Docker, Kubernetes, Ansible) Data science packages (pandas, numpy, matplotlib) Modern C++ knowledge (C++17 and later) Interest in sports betting, financial services or trading platforms More ❯

build and support systematic trading models. The successful fullstack python/typescript developer will write high-quality asynchronous Python code to interact with external websites and APIs, build responsive, data-rich frontend features using React and TypeScript, participate in architectural discussions and propose platform improvements, work in a Linux environment using Docker and Kubernetes and follow Agile practices using … or similar relational databases Proficiency with HTML5, CSS3, and modern frontend build tools Strong Linux and Git skills Desirable skills: AWS or cloud platform experience WebSocket and real-time data handling DevOps tooling (Docker, Kubernetes, Ansible) Data science packages (pandas, numpy, matplotlib) Modern C++ knowledge (C++17 and later) Interest in sports betting, financial services or trading platforms More ❯

build and support systematic trading models. The successful fullstack python/typescript developer will write high-quality asynchronous Python code to interact with external websites and APIs, build responsive, data-rich frontend features using React and TypeScript, participate in architectural discussions and propose platform improvements, work in a Linux environment using Docker and Kubernetes and follow Agile practices using … or similar relational databases Proficiency with HTML5, CSS3, and modern frontend build tools Strong Linux and Git skills Desirable skills: AWS or cloud platform experience WebSocket and real-time data handling DevOps tooling (Docker, Kubernetes, Ansible) Data science packages (pandas, numpy, matplotlib) Modern C++ knowledge (C++17 and later) Interest in sports betting, financial services or trading platforms More ❯

build and support systematic trading models. The successful fullstack python/typescript developer will write high-quality asynchronous Python code to interact with external websites and APIs, build responsive, data-rich frontend features using React and TypeScript, participate in architectural discussions and propose platform improvements, work in a Linux environment using Docker and Kubernetes and follow Agile practices using … or similar relational databases Proficiency with HTML5, CSS3, and modern frontend build tools Strong Linux and Git skills Desirable skills: AWS or cloud platform experience WebSocket and real-time data handling DevOps tooling (Docker, Kubernetes, Ansible) Data science packages (pandas, numpy, matplotlib) Modern C++ knowledge (C++17 and later) Interest in sports betting, financial services or trading platforms More ❯

who is responsible for designing enterprise AI solutions that align with business objectives while ensuring scalability, security, and efficiency. This role translates business needs into AI-driven architectures (across data ingestion, models and operational workflows), ensuring feasibility, cost-effectiveness, and adherence to industry best practices and firmwide standards. The AI Solution Architect works closely with the sales teams, engineers … existing IT infrastructure. This role is for you if you have: Proven experience architecting AI-driven solutions for enterprise customers, collaborating with sales and engineering teams. Ability to assess data dependencies, business constraints, and success criteria to deliver AI solutions that meet user and business needs. Expertise in AI Solution Architecture, including LLM/SLM (Large Language Models/… Security & FinOps, including AI landing zones, model refinement and testing, and compliance strategies. Experience in Enterprise AI Design, focusing on scalable, secure, and cost-effective AI integration. Understanding of data science principles, enabling informed evaluation of machine learning and statistical models. What you'll receive from us: No matter where you may be in your career or personal More ❯

from product-led organisations or financial institutions. Experience contributing to the full product lifecycle - from discovery and requirements gathering to delivery and iteration - in collaboration with engineers, designers, and data scientists. Exposure to AI/ML product delivery, with enough understanding of data science and engineering principles to work effectively with technical teams and spot potential risks … or dependencies. Strong communication and stakeholder engagement skills, able to build credibility and influence decisions through structured reasoning and data-driven insights. Familiarity with feature prioritisation and trade-offs , balancing customer needs, commercial outcomes, and technical feasibility. A collaborative, proactive approach with the ability to work in ambiguous situations and adapt to changing priorities. A growth mindset and appetite More ❯

a deep understanding of how to take from concept to product , guiding discovery, scoping, and delivery in complex organisations. Key Responsibilities Lead product strategy and vision for AI and data-driven initiatives across client projects. Define measurable outcomes, success metrics, and value propositions for AI products. Collaborate with cross-functional teams (design, data science, engineering) to define … roadmaps and MVPs. Translate complex AI and data concepts into business terms for non-technical stakeholders. Support client workshops on AI opportunity mapping, prioritisation, and roadmap definition. Drive alignment between product strategy, governance, and ethical AI principles. Identify and de-risk product delivery dependencies in regulated and enterprise environments. Mentor internal and client teams on product management best practices … Comfortable leading workshops and creating structured product artefacts (roadmaps, blueprints, OKRs, etc.). Excellent communication, presentation, and facilitation skills. Nice to Have Understanding of machine learning, generative AI, and data platform capabilities (you don’t need to code, but understand the landscape is a bonus). Experience leading AI, data, or automation product initiatives — from discovery through delivery. More ❯