51 to 75 of 644 Computer Science Jobs in Central London

onsite per week) Contract Type: Contract Duration: 6–12 months (possibility of extension) Start Date: ASAP Overview We are seeking an experienced Machine Learning Engineer to join our data science and AI engineering team on a contract basis in London. The ideal candidate will be responsible for designing, developing, and deploying machine learning models and scalable data pipelines that … Kubernetes). Experience integrating ML models into production environments via APIs or microservices. Excellent problem-solving, analytical, and communication skills. Preferred Qualifications Bachelor’s or Master’s degree in Computer Science , Data Science , Mathematics , or a related field. Familiarity with CI/CD pipelines for ML model deployment. Exposure to natural language processing (NLP) , computer vision More ❯

and staying current with advancements in AI and machine learning What We’re Looking For: A recently completed Master’s degree from a Russell Group university in Artificial Intelligence, Computer Science, Data Science, Engineering, Mathematics, or a related discipline Demonstrated project experience (academic research, dissertation work, or personal projects) applying machine learning or AI techniques Strong programming More ❯

R&D and staying current with advancements in AI and machine learning What Were Looking For: A recently completed Masters degree from a Russell Group university in Artificial Intelligence, Computer Science, Data Science, Engineering, Mathematics, or a related discipline Demonstrated project experience (academic research, dissertation work, or personal projects) applying machine learning or AI techniques Strong programming More ❯

opportunity for an ambitious early-career professional to join a small, fast-moving team and work directly with the founders building products at the cutting edge of AI, data science, and automation. The Role(s) We're looking for multiple hires to help our client analyse how brands appear across different contexts and to uncover the stories hidden in … someone with a strong analytical mindset and coding ability, who is curious about language, AI, and how data can generate real-world insights. While the focus is on data science, the team is also interested in applicants whose skills & interests lean more towards AI Agent Engineering or Generative BI development . Candidates with strengths in these areas are encouraged … ideas. Collaborate with product and engineering teams to turn data insights into product features. Deploy and monitor models in cloud environments. Candidate Profile Essential: Degree in a STEM subject (Computer Science, Data Science, Engineering, Maths, Physics, etc.) or strong analytical background. Programming experience with Python, SQL. Strong analytical and problem-solving skills. Interest in AI, natural language More ❯

opportunity for an ambitious early-career professional to join a small, fast-moving team and work directly with the founders building products at the cutting edge of AI, data science, and automation. The Role(s) We're looking for multiple hires to help our client analyse how brands appear across different contexts and to uncover the stories hidden in … someone with a strong analytical mindset and coding ability, who is curious about language, AI, and how data can generate real-world insights. While the focus is on data science, the team is also interested in applicants whose skills & interests lean more towards AI Agent Engineering or Generative BI development . Candidates with strengths in these areas are encouraged … ideas. Collaborate with product and engineering teams to turn data insights into product features. Deploy and monitor models in cloud environments. Candidate Profile Essential: Degree in a STEM subject (Computer Science, Data Science, Engineering, Maths, Physics, etc.) or strong analytical background. Programming experience with Python, SQL. Strong analytical and problem-solving skills. Interest in AI, natural language More ❯

tolerant design Security Protocols : Experience with LDAP, Active Directory, OAuth2, and Kerberos authentication Unix/Linux Proficiency : Advanced command-line skills and system administration experience Educational Foundation : Degree in Computer Science, Data Science, Engineering, or equivalent hands-on experience Bonus Points For 🏆 Starburst Certified Practitioner certification 💻 Programming Skills in Python and/or Java 🤖 Automation Expertise with More ❯

tolerant design Security Protocols : Experience with LDAP, Active Directory, OAuth2, and Kerberos authentication Unix/Linux Proficiency : Advanced command-line skills and system administration experience Educational Foundation : Degree in Computer Science, Data Science, Engineering, or equivalent hands-on experience Bonus Points For Starburst Certified Practitioner certification Programming Skills in Python and/or Java Automation Expertise with More ❯

translate regulatory requirements into technical specifications and automated controls. Experience in delivering solutions in Agile environments and working with cross-functional teams. Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or related field. Desirable skills/knowledge/experience: Experience in RegTech or working with compliance and audit teams in a banking More ❯

Ability to translate regulatory requirements into technical specifications and automated controls. Experience in delivering solutions in Agile environments and working with cross-functional teams. Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, or related field. Desirable skills/knowledge/experience: Experience in RegTech or working with compliance and audit teams in a banking More ❯

evaluate: Algorithmic problem-solving Data structures and computational efficiency Code quality and optimisation under time constraints Ideal Candidate Profile Academic and Professional Background Degree/Masters/PhD in Computer Science, Data Science, or a related discipline Proven experience as a Back-End Developer/Engineering Lead/CTO in data-heavy environments Demonstrable history of technical More ❯

evaluate: Algorithmic problem-solving Data structures and computational efficiency Code quality and optimisation under time constraints Ideal Candidate Profile Academic and Professional Background Degree/Masters/PhD in Computer Science, Data Science, or a related discipline Proven experience as a Back-End Developer/Engineering Lead/CTO in data-heavy environments Demonstrable history of technical More ❯

experience with SQL, Python, R, PowerBI, Tableau, or similar tools. Excellent project management and team leadership skills. Strong problem-solving, attention to detail, and client communication skills. Degree in Computer Science, Data Science, Mathematics, Statistics, or related field (Master’s preferred). Why Apply: Work on high-impact projects with leading organisations. Access to cutting-edge technologies More ❯

experience with SQL, Python, R, PowerBI, Tableau, or similar tools. Excellent project management and team leadership skills. Strong problem-solving, attention to detail, and client communication skills. Degree in Computer Science, Data Science, Mathematics, Statistics, or related field (Master’s preferred). Why Apply: Work on high-impact projects with leading organisations. Access to cutting-edge technologies More ❯

to support natural language and intelligent automation use cases. Fine-tune and customise LLMs (e.g. OpenAI, Anthropic, and other models) for specific business applications. Collaborate with engineering and data science teams to implement MLOps best practices — from deployment and monitoring to continuous iteration. Partner with commercial and operational teams to identify and automate processes that can be enhanced through … AI concepts to non-technical teams. A proactive, creative mindset — comfortable operating with autonomy to build scalable, production-grade AI systems. Preferred qualifications: Advanced degree (MSc/PhD) in Computer Science, Data Science, or a related STEM field. Experience with Azure Foundry, AWS SageMaker, or other model-serving tools. Prior exposure to SaaS, enterprise, or data-rich More ❯

to support natural language and intelligent automation use cases. Fine-tune and customise LLMs (e.g. OpenAI, Anthropic, and other models) for specific business applications. Collaborate with engineering and data science teams to implement MLOps best practices — from deployment and monitoring to continuous iteration. Partner with commercial and operational teams to identify and automate processes that can be enhanced through … AI concepts to non-technical teams. A proactive, creative mindset — comfortable operating with autonomy to build scalable, production-grade AI systems. Preferred qualifications: Advanced degree (MSc/PhD) in Computer Science, Data Science, or a related STEM field. Experience with Azure Foundry, AWS SageMaker, or other model-serving tools. Prior exposure to SaaS, enterprise, or data-rich More ❯

generation AI capabilities that transform how complex, data-rich operations run in the field. This role is ideal for someone who thrives at the intersection of product vision, data science, and real-world impact. You’ll work closely with senior leadership to define and execute an ambitious AI strategy - translating conceptual opportunities into practical, scalable products that drive measurable … Define and deliver the AI product roadmap — identifying and validating opportunities to create customer and business value. Translate strategy into clear, actionable product requirements. Partner with engineering and data science teams to design, build, and launch AI-driven features that deliver tangible results. Collaborate with commercial and customer teams to bring new capabilities to market and ensure adoption and … excellence across large, distributed workforces. What You Bring 5+ years of experience in technical product management. 3+ years leading AI/ML-driven product initiatives, ideally with exposure to computer vision, large language models, or agent-based systems. Strong foundation in computer science, data science, or a related quantitative field. Experience conducting deep discovery with users More ❯

generation AI capabilities that transform how complex, data-rich operations run in the field. This role is ideal for someone who thrives at the intersection of product vision, data science, and real-world impact. You’ll work closely with senior leadership to define and execute an ambitious AI strategy - translating conceptual opportunities into practical, scalable products that drive measurable … Define and deliver the AI product roadmap — identifying and validating opportunities to create customer and business value. Translate strategy into clear, actionable product requirements. Partner with engineering and data science teams to design, build, and launch AI-driven features that deliver tangible results. Collaborate with commercial and customer teams to bring new capabilities to market and ensure adoption and … excellence across large, distributed workforces. What You Bring 5+ years of experience in technical product management. 3+ years leading AI/ML-driven product initiatives, ideally with exposure to computer vision, large language models, or agent-based systems. Strong foundation in computer science, data science, or a related quantitative field. Experience conducting deep discovery with users More ❯

of the latest advancements in genomics, healthcare, and AI technologies. Contribute to the development of new methodologies and tools to enhance our service offerings. Qualifications: Bachelor's degree in Computer Science, Data Science, or a related field. Strong foundation in data engineering, including experience with ETL processes, data modeling, and database management, as well as SQL. Knowledge More ❯

of the latest advancements in genomics, healthcare, and AI technologies. Contribute to the development of new methodologies and tools to enhance our service offerings. Qualifications: Bachelor's degree in Computer Science, Data Science, or a related field. Strong foundation in data engineering, including experience with ETL processes, data modeling, and database management, as well as SQL. Knowledge More ❯

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 ❯

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 ❯

the future of proteomics - your algorithms will directly enable discoveries that could revolutionize drug development and diagnostics. What are we looking for? PhD (or MSc + equivalent experience) in Computer Science, Data Science, Mathematics, Physics, or Bioinformatics 5+ years post-qualification experience tackling complex technical challenges Expert-level Python programming (NumPy, PyTorch/TensorFlow, SciPy, pandas) Deep More ❯

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. More ❯

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. More ❯

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. Luxoft is committed to fostering a diverse and inclusive workplace. We show fairness to all throughout our talent More ❯