2,576 to 2,600 of 3,288 Machine Learning Jobs in the UK

broad range of assurance backgrounds, not just people who already work in AI assurance. You should have some exposure to AI or machine-learning systems or be able to demonstrate that you can learn unfamiliar technologies quickly and engage credibly with specialists. Key Experience: We are primarily interested … integrity or safety-critical software AI verification, validation, testing or evaluation System safety and hazard analysis Software or system architecture Human factors and human-machine teaming Cybersecurity and resilience Quantitative risk, reliability or formal methods Operational monitoring and change assurance Clinical safety or healthcare technology assurance Another professional field ...

setting the technical direction and ensuring the high-quality, scalable delivery of our most challenging, high-impact projects. This position combines deep expertise in machine learning with strategic oversight to define project roadmaps, manage technical risk, and architect reliable solutions. Your focus will be on driving innovation, mentoring … contributing to the growth and technical excellence of the organisation. Who we're looking for: You bring depth of expertise in at least one machine learning domain and strong technical breadth across the entire data science landscape. You are a skilled technical leader, proficient in mentoring individuals, managing ...

development teams to ensure data operations run smoothly and delivery is to plan Establish scalable, efficient, and automated processes for large scale deployments (including machine learning solutions) Manage, monitor, and troubleshoot machine learning infrastructure. Develop and maintain relationships with stakeholders to understand their data needs ...

scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. … Minimum qualifications: Bachelor’s degree in Computer Science, a related Software Engineering field, or equivalent practical experience. 3 years of experience in software development, ML engineering, or ML research. Experience working with research teams. Preferred qualifications: Experience conducting or contributing to applied research to improve the safety and alignment ...

senior stakeholders across business and technology Ensuring AI products are commercially valuable, scalable and responsibly governed You will need strong experience delivering data, analytics, machine learning or AI products within a complex organisation. Financial services experience would be highly valuable. This is a rare opportunity to help shape ...

will shape and develop the capability. Essential criteria You bring a strong technical background in model risk management, specifically in validating AI and machine learning applications within financial services You possess a deep understanding of financial risks and can articulate how AI impacts and mitigates these challenges ...

time insights into engineering and maintenance performance. The role will be instrumental in embedding data driven decision making through the combination of flat data, machine learning and artificial intelligence. Where you fit in: As our Maintenance Assurance Data Analyst , you will: Interrogate SAP S/4HANA to provide … degree level (L6 or above) in a STEM/data analysis subject Experience of working within the water industry Understanding and application of Machine learning and/or Artificial intelligence Diligent and strong attention to detail Effective communication skills Ability to seek out information from a field ...

least 3–5 years leading PM teams (PMs and/or senior PMs reporting to you) Track record building internal platforms, developer tools, or ML/AI evaluation infrastructure — products whose users are engineers and scientists, where the bar is set by power users with strong opinions and the ability … tool feels. You apply product management best practices to measuring user experience Prior experience in autonomous vehicles, robotics, or another safety-critical AI/ML program (L2+, L4, surgical robotics, aerospace autonomy, etc.) Working knowledge of SOTIF (ISO 21448), ISO 26262, or other safety standards relevant to validating learned systems ...

position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI Director - Machine Learning based in the United Kingdom. This role offers the opportun... 9h ago J-HWA2GU AI Product Designer This position is listed ...

Sell Our Value Proposition: Articulate the Elsewhen proposition for public sector buyers, clearly communicating how our AI‐powered solutions in LLM, Generative AI, and Machine Learning can solve their most pressing challenges and drive sales. Represent Elsewhen: Act as the public face of our public sector practice … meet‐ups in central London. Generous Leave Policy: 27 days of holiday plus bank holidays Family friendly policies, including enhanced maternity, paternity and shared Learning and Development: Individual annual budget of £2,000 for learning and development, with dedicated learning days. Feel Better Fund: £500 to help ...

feedback and evolving requirements. Contributing reusable code, shared AI components, and best practices across the Data team. Requirements Strong understanding of applied AI and machine learning techniques. Ability to build computer vision solutions for image-based data. Understanding of LLM systems, orchestration workflows, and retrieval-based approaches. Ability ...

programming using C/C++ . Knowledge of Psychoacoustics , Auditory Perception , Spatial Audio , Room Acoustics , or Physical Acoustics . Experience with PyTorch or other machine learning frameworks. Experience working with prototype hardware and motion tracking systems. Experience designing and setting up acoustic laboratory environments. ...

Experience recruiting, leading and developing product teams with strong coaching and people leadership skills. Domain knowledge in fraud prevention, statistical modelling and AI/machine learning. Strong product management experience, preferably within a large B2B organisation. Ability to understand and analyse complex data associated with machine learning ...

shaping technical standards across delivery teams Principal Data Engineering Consultant | DESIRED SKILLS Experience operating across multi-cloud environments including Azure and AWS Exposure to machine learning enablement within enterprise data platforms Experience contributing to pre-sales strategy, bid responses, and solution estimation Knowledge of enterprise integration patterns ...

systems, and modern telemetry standards such as OpenTelemetry. Experience defining KPIs, SLOs, and operational maturity frameworks for enterprise reliability and service performance. Knowledge of machine learning applications in operations, including forecasting, anomaly detection, pattern recognition, and recommendation models. Experience maturing enterprise AIOps operating models, including use case rollout … plus. Benefits Health & Wellness: health care coverage designed for the mind and body. Flexible Downtime: generous time off to keep you energized. Continuous Learning: access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: competitive pay, retirement planning, a continuing education ...

London, UK Bachelor's degree in Computer Science, a related Software Engineering field, or equivalent practical experience. 3 years of experience in software development, ML engineering, or ML research. Experience working with research teams. Preferred qualifications: Experience conducting or contributing to applied research to improve the safety and alignment … scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Responsibilities Research new alignment methods, studying alignment failures ...

Strong knowledge of EUC technologies and market data platforms. Proficiency in scripting languages such as PowerShell and Python for automation. Experience with AI and machine learning tools is highly advantageous. Ability to handle multiple tasks simultaneously and meet tight deadlines. Excellent problem-solving skills and attention to detail. ...

pricing, ideally within motor insurance. Strong Python skills with experience building pricing models and analytical solutions. Solid understanding of pricing methodologies, including statistical and machine learning techniques. Experience working with rating engines and implementing pricing changes. Ability to communicate technical findings to both technical and non-technical stakeholders. ...

Derivation of detailed Firmware requirements and architecture from system requirements A structured approach to firmware design (RTCA DO-254 or similar) Artificial Intelligence including machine learning and genetic algorithms Electronics test methods and equipment Experience required: HNC/HND or Undergraduate Degree (Electronic Engineering, Computer Science, AI, Games ...

competitor fund, market-maker or proprietary trading firm only. Advanced degree in a highly scientific, quantitative or computational discipline (examples include STEM and Machine Learning). Exceptional research track record demonstrating innovation in your field including strong publication records/best paper awards. Capable across topics in statistical ...

Role • Identify high‐impact opportunities to apply AI, data science, advanced analytics, and digital tooling. • Lead technical workstreams, including the design and delivery of machine learning solutions and digital tools. • Work closely with client teams on the ground to embed solutions directly into operations. • Guide multi‐disciplinary teams ...

Role • Identify high‐impact opportunities to apply AI, data science, advanced analytics, and digital tooling. • Lead technical workstreams, including the design and delivery of machine learning solutions and digital tools. • Work closely with client teams on the ground to embed solutions directly into operations. • Guide multi‐disciplinary teams ...

Role • Identify high‐impact opportunities to apply AI, data science, advanced analytics, and digital tooling. • Lead technical workstreams, including the design and delivery of machine learning solutions and digital tools. • Work closely with client teams on the ground to embed solutions directly into operations. • Guide multi‐disciplinary teams ...

Role • Identify high‐impact opportunities to apply AI, data science, advanced analytics, and digital tooling. • Lead technical workstreams, including the design and delivery of machine learning solutions and digital tools. • Work closely with client teams on the ground to embed solutions directly into operations. • Guide multi‐disciplinary teams ...

Role • Identify high‐impact opportunities to apply AI, data science, advanced analytics, and digital tooling. • Lead technical workstreams, including the design and delivery of machine learning solutions and digital tools. • Work closely with client teams on the ground to embed solutions directly into operations. • Guide multi‐disciplinary teams ...