276 to 300 of 1,520 Computer Science Jobs in the UK

for maximum business impact. Build strong relationships with internal stakeholders and external vendors. Stay ahead of emerging tech, piloting innovations that add real value. Main Skills Needed: Degree in Computer Science, Data Science, or related field. 6+ years in data roles, with at least 2 years in leadership. Strong understanding of data warehousing, pipelines, and database technologies. More ❯

for maximum business impact. Build strong relationships with internal stakeholders and external vendors. Stay ahead of emerging tech, piloting innovations that add real value. Main Skills Needed: Degree in Computer Science, Data Science, or related field. 6+ years in data roles, with at least 2 years in leadership. Strong understanding of data warehousing, pipelines, and database technologies. More ❯

for maximum business impact. Build strong relationships with internal stakeholders and external vendors. Stay ahead of emerging tech, piloting innovations that add real value. Main Skills Needed: Degree in Computer Science, Data Science, or related field. 6+ years in data roles, with at least 2 years in leadership. Strong understanding of data warehousing, pipelines, and database technologies. More ❯

improve the QA process and contribute to the development of testing best practices. Qualifications: Minimum 7+ years of technical experience with a bachelor's or master's degree in science (preferably Computer Science, Engineering, or other related disciplines). Must have hands-on testing experience in iOS and Android mobile platforms by leveraging various functional and automated More ❯

Postdoctoral Scientist, EU Science and Technology Job ID: Amazon Digital Spain S.L.U. - N22 Amazon is looking for talented Postdoctoral Scientists to join our team for a one-year, full-time research position. EU STEP brings together Supply Chain, Network Design, and Transportation Planning teams to improve end-to-end forecasting, network flow, planning, and execution. It also brings together … business and long-term research that prepare Amazon for the future. Our skills lie in the area of machine learning and optimization; and know how to code efficient algorithmic science solutions. In this position we focus on Demand Forecast for Scheduling and Capacity Management, which includes the subproblems of origin-destination forecasting, week over week end-to-end network … demand flow estimation, hour per hour forecast refresh. We experiment and innovate relentlessly. Science is core in our offering to shoppers, advertisers and customers. Our scientists apply machine learning, optimization, causal modeling and game theory at scale to enhance the customer experience, help advertisers reach relevant audiences, and support brand building. We are seeking talented scientists to invent cutting More ❯

IP performance through programs and initiatives; provide training and develop training materials as appropriate. Your background European Patent Attorney, university degree in electrical engineering, physics, electronics, mechanical engineering or computer science, other science or engineering degrees considered if supported by practical IP related experience in the energy sector; professional experience in IP in an IP law firm More ❯

IP performance through programs and initiatives; provide training and develop training materials as appropriate. Your background European Patent Attorney, university degree in electrical engineering, physics, electronics, mechanical engineering or computer science, other science or engineering degrees considered if supported by practical IP related experience in the energy sector; professional experience in IP in an IP law firm More ❯

Make your mark for patients We are looking for a Data Science Lead, Research Analytics who is creative, curious, and collaborative in our Global Data Science & Analytics team, basedin our Brussel office in Belgium OR Slough . About the role As a Data Science Lead in Research Analytics, you'll drive analytics solutions that inform compound and … antibody discovery for early drug platforms. You'll apply data science and machine learning to diverse datasets-imaging, gene expression, high-throughput screens, and sequencing (e.g., mRNA display)-to identify initial hits and establish early structure-activity relationships. Your work supports the organization's Digital Business Transformation and spans modalities including small molecules, peptides, biologics, and gene therapy. You … teams. Who you'll work with Internally, you will collaborate with relevant stakeholders in function areas such as Discovery Biology, Translational Biology, Computational Chemistry, Protein Sciences and fellow data science teams & IT.Externally, you may work with academic institutions and partner with other biotech or technology companies. What you'll do Lead platform development of novel modalities such as peptides More ❯

You'll apply advanced AI techniques and ensure high standards of data quality and integrity in our solutions. The successful candidate for this role must have a strong Data Science background and understand the challenges of delivering data products with a commitment to incremental delivery. Proven experience of data science projects, and the ability to articulate ideas effectively … successfully applied Generative AI and Machine Learning techniques in real-world projects, delivering innovative products to market You hold a degree in a technical or quantitative field (e.g., AI, computer science, engineering, mathematics, physics, or related discipline) with proven professional experience applying data science in commercial or research environments You possess strong analytical skills, demonstrate attention to … both technical and non-technical stakeholders and thrive in collaborative, cross-functional environments You demonstrate intellectual curiosity, embrace continuous learning, and are passionate about advancing your expertise in data science and AI You excel in collaborative team environments while taking full ownership of your deliverables Advanced ML Architectures : Experience implementing specialised neural networks such as Graph Neural Networks (GNNs More ❯

leading, designing and experimenting with cutting edge research on how to best solve pressing issues surfacing in the legal domain. You will apply your expertise in machine learning, data science, and behavioural modelling to drive meaningful insights and innovations. As AI agents become the norm in this industry, so does the need for efficient legal information retrieval, semantic search … with the latest research in machine learning, AI, knowledge representation and retrieval to bring innovative solutions to the table. Ideally, you should have the following qualifications: A Ph.D. in Computer Science, Data Science, Machine Learning, Statistics, or a related field (or equivalent practical experience). Strong expertise in machine learning algorithms, statistical methods, and optimisation techniques. Have More ❯

leading, designing and experimenting with cutting edge research on how to best solve pressing issues surfacing in the legal domain. You will apply your expertise in machine learning, data science, and behavioural modelling to drive meaningful insights and innovations. As AI agents become the norm in this industry, so does the need for efficient legal information retrieval, semantic search … to bring innovative solutions to the table. Mentor junior researchers and contribute to building a collaborative, knowledge-sharing culture. Ideally, you should have the following qualifications: A Ph.D. in Computer Science, Data Science, Machine Learning, Statistics, or a related field (or equivalent practical experience). Strong expertise in machine learning algorithms, statistical methods, and optimisation techniques. Have More ❯

variety of setups Analyse and troubleshoot link-performance issues Interact with DSP/HW/SW team to improve system performance Minimum requirements: Degree in Electrical/Electronic Engineering, Computer Engineering, Computer Science, or Physics 2+ years of experience with RF measurement and instrumentation 2+ years of programming experience using Python Preferred experience includes: Hands on Digital More ❯

variety of setups Analyse and troubleshoot link-performance issues Interact with DSP/HW/SW team to improve system performance Minimum requirements: Degree in Electrical/Electronic Engineering, Computer Engineering, Computer Science, or Physics 2+ years of experience with RF measurement and instrumentation 2+ years of programming experience using Python Preferred experience includes: Hands on Digital More ❯

variety of setups Analyse and troubleshoot link-performance issues Interact with DSP/HW/SW team to improve system performance Minimum requirements: Degree in Electrical/Electronic Engineering, Computer Engineering, Computer Science, or Physics 2+ years of experience with RF measurement and instrumentation 2+ years of programming experience using Python Preferred experience includes: Hands on Digital More ❯

integration into production. Evaluate model performance and suggest improvements. Keep up with advancements in AI/ML to contribute fresh ideas to the team. Skills and Experience: Degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Understanding of machine learning algorithms and model evaluation techniques. Strong analytical and communication skills. Comfortable working in a … collaborative environment and taking feedback. Desirable: MSc in a relevant discipline. Exposure to NLP, computer vision, or recommendation systems. Familiarity with cloud services (AWS, GCP, or Azure). Experience with Git and modern development practices. Interest in deploying models into real-world applications. What’s on Offer Competitive salary with room for growth. Hybrid working model – 2 days a More ❯

Head of Data Science - Credit Risk/Lending Up to £130,000 + Bonus London (2/3 days onsite) Company: A long term client of ours, operating within the Credit/Lending space is looking to bring in a new Head of Data Science. Focused on Credit Cards and Loans, the company uses a digital-first platform and … smart analytics to assess affordability fairly and lend responsibly. Backed by a trusted brand, it’s making credit clear, accessible, and ethical. Responsibilities: Lead a Data Science team to build and embed top credit models supporting growth and customer outcomes. Develop and deploy segmented credit models for unsecured consumer lending. Improve data and analytics by identifying opportunities and encouraging … to optimise portfolio value through data and modelling adjustments. Communicate insights to stakeholders, monitor model performance, and collaborate across teams and external partners. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Experience working with models in the Credit Risk/Lending space (Probability of Default, scorecard etc). Strong coding skills More ❯

Head of Data Science - Credit Risk/Lending Up to £130,000 + Bonus London (2/3 days onsite) Company: A long term client of ours, operating within the Credit/Lending space is looking to bring in a new Head of Data Science. Focused on Credit Cards and Loans, the company uses a digital-first platform and … smart analytics to assess affordability fairly and lend responsibly. Backed by a trusted brand, it’s making credit clear, accessible, and ethical. Responsibilities: Lead a Data Science team to build and embed top credit models supporting growth and customer outcomes. Develop and deploy segmented credit models for unsecured consumer lending. Improve data and analytics by identifying opportunities and encouraging … to optimise portfolio value through data and modelling adjustments. Communicate insights to stakeholders, monitor model performance, and collaborate across teams and external partners. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Experience working with models in the Credit Risk/Lending space (Probability of Default, scorecard etc). Strong coding skills More ❯

transformation, innovation, and AI. As part of this, we're recruiting a Lead Product Engineer to help shape and deliver scalable products that sit at the intersection of data science, software engineering, and DevOps. If you’re a technically curious builder with a track record of delivering software into production - and you're ready to take the lead in … next step in your career. Key Responsibilities Lead the development of innovative digital products from concept through to production Design and build scalable, containerised software solutions that incorporate data science components Make architectural decisions around tooling, frameworks, and development approaches Work with DevOps practices including Docker, Terraform, and cloud deployment (Azure preferred) Collaborate closely with cross-functional teams including … product managers, data scientists, and business stakeholders Mentor and support junior engineers, helping to grow technical capability within the team Stay up-to-date with developments in data science and AI (e.g., LLMs, agentic AI), and integrate this thinking into product delivery Communicate clearly and confidently to both technical and non-technical audiences Ideal Candidate Profile Technical Experience More ❯

transformation, innovation, and AI. As part of this, we're recruiting a Lead Product Engineer to help shape and deliver scalable products that sit at the intersection of data science, software engineering, and DevOps. If you’re a technically curious builder with a track record of delivering software into production - and you're ready to take the lead in … next step in your career. Key Responsibilities Lead the development of innovative digital products from concept through to production Design and build scalable, containerised software solutions that incorporate data science components Make architectural decisions around tooling, frameworks, and development approaches Work with DevOps practices including Docker, Terraform, and cloud deployment (Azure preferred) Collaborate closely with cross-functional teams including … product managers, data scientists, and business stakeholders Mentor and support junior engineers, helping to grow technical capability within the team Stay up-to-date with developments in data science and AI (e.g., LLMs, agentic AI), and integrate this thinking into product delivery Communicate clearly and confidently to both technical and non-technical audiences Ideal Candidate Profile Technical Experience More ❯

transformation, innovation, and AI. As part of this, we're recruiting a Lead Product Engineer to help shape and deliver scalable products that sit at the intersection of data science, software engineering, and DevOps. If you’re a technically curious builder with a track record of delivering software into production - and you're ready to take the lead in … next step in your career. Key Responsibilities Lead the development of innovative digital products from concept through to production Design and build scalable, containerised software solutions that incorporate data science components Make architectural decisions around tooling, frameworks, and development approaches Work with DevOps practices including Docker, Terraform, and cloud deployment (Azure preferred) Collaborate closely with cross-functional teams including … product managers, data scientists, and business stakeholders Mentor and support junior engineers, helping to grow technical capability within the team Stay up-to-date with developments in data science and AI (e.g., LLMs, agentic AI), and integrate this thinking into product delivery Communicate clearly and confidently to both technical and non-technical audiences Ideal Candidate Profile Technical Experience More ❯

transformation, innovation, and AI. As part of this, we're recruiting a Lead Product Engineer to help shape and deliver scalable products that sit at the intersection of data science, software engineering, and DevOps. If you’re a technically curious builder with a track record of delivering software into production - and you're ready to take the lead in … next step in your career. Key Responsibilities Lead the development of innovative digital products from concept through to production Design and build scalable, containerised software solutions that incorporate data science components Make architectural decisions around tooling, frameworks, and development approaches Work with DevOps practices including Docker, Terraform, and cloud deployment (Azure preferred) Collaborate closely with cross-functional teams including … product managers, data scientists, and business stakeholders Mentor and support junior engineers, helping to grow technical capability within the team Stay up-to-date with developments in data science and AI (e.g., LLMs, agentic AI), and integrate this thinking into product delivery Communicate clearly and confidently to both technical and non-technical audiences Ideal Candidate Profile Technical Experience More ❯

transformation, innovation, and AI. As part of this, we're recruiting a Lead Product Engineer to help shape and deliver scalable products that sit at the intersection of data science, software engineering, and DevOps. If you’re a technically curious builder with a track record of delivering software into production - and you're ready to take the lead in … next step in your career. Key Responsibilities Lead the development of innovative digital products from concept through to production Design and build scalable, containerised software solutions that incorporate data science components Make architectural decisions around tooling, frameworks, and development approaches Work with DevOps practices including Docker, Terraform, and cloud deployment (Azure preferred) Collaborate closely with cross-functional teams including … product managers, data scientists, and business stakeholders Mentor and support junior engineers, helping to grow technical capability within the team Stay up-to-date with developments in data science and AI (e.g., LLMs, agentic AI), and integrate this thinking into product delivery Communicate clearly and confidently to both technical and non-technical audiences Ideal Candidate Profile Technical Experience More ❯

translate strategic goals into technical execution. Track record of influencing cross-functional teams and executive stakeholders. Passion for building high-performing teams and nurturing talent. Educational Background: Degree in Computer Science, Information Technology, or a related field, or equivalent work experience. Professional Experience: Minimum of 7-15 years of experience in technical programmes/projects and large-scale … developing distributed/scalable systems and high-volume, low latency, transaction/computation applications. Broad understanding of the software development lifecycle, including the application of LLM driven and Data Science DevOps/MLOps/AIOps methodologies. Expertise in data management and analytics, including data structures, data processing, data modelling, and statistical analysis. Knowledge of Python and C# for development More ❯

translate strategic goals into technical execution. Track record of influencing cross-functional teams and executive stakeholders. Passion for building high-performing teams and nurturing talent. Educational Background: Degree in Computer Science, Information Technology, or a related field, or equivalent work experience. Professional Experience: Minimum of 7-15 years of experience in technical programmes/projects and large-scale … developing distributed/scalable systems and high-volume, low latency, transaction/computation applications. Broad understanding of the software development lifecycle, including the application of LLM driven and Data Science DevOps/MLOps/AIOps methodologies. Expertise in data management and analytics, including data structures, data processing, data modelling, and statistical analysis. Knowledge of Python and C# for development More ❯

translate strategic goals into technical execution. Track record of influencing cross-functional teams and executive stakeholders. Passion for building high-performing teams and nurturing talent. Educational Background: Degree in Computer Science, Information Technology, or a related field, or equivalent work experience. Professional Experience: Minimum of 7-15 years of experience in technical programmes/projects and large-scale … developing distributed/scalable systems and high-volume, low latency, transaction/computation applications. Broad understanding of the software development lifecycle, including the application of LLM driven and Data Science DevOps/MLOps/AIOps methodologies. Expertise in data management and analytics, including data structures, data processing, data modelling, and statistical analysis. Knowledge of Python and C# for development More ❯