226 to 235 of 235 Machine Learning Jobs in the City of London

regulatory standards through robust assurance frameworks and risk assessments. Key Responsibilities: Develop and implement AI risk management and assurance frameworks Conduct technical evaluations and TEVV activities for AI/ML solutions Advise on model explainability, bias detection, robustness, and resilience testing Guide project teams and suppliers in embedding assurance into AI/ML Ops lifecycle Act as a trusted advisor … AI safety frameworks Hands-on experience with AI tools and operational pipelines Knowledge of regulatory and ethical requirements in Defence or other high-stakes industries Experience integrating assurance into ML Ops pipelines Degree or equivalent in AI/ML, data science, or related field Proven client-side leadership in regulated environments Desirable: Familiarity with generative AI safety challenges Publications or More ❯

Flask, asyncio) · Solid understanding of API integration patterns and inter-servic communication (e.g. REST, Kafka) · Experience with authentication and authorization mechanisms (e.g. OAuth2, JWT, Azure AD) · At least two ML/AI solutions delivered to production, ideally involving document understanding, NLP or search/retrieval systems · Practical knowledge and hands-on experience with: RAG architectures, LLMs (e.g., OpenAI, Antropic), Vector … Azure AI Search), Embeddings (e.g., OpenAI) · Strong grasp of NLP techniques: named entity recognition (NER), document classification, chunking, summarization, question answering. · Ability to evaluate trade-offs and select appropriate ML/AI techniques for a given problem. · Experience with PoC development and iterating quickly based on results. · Familiarity with LangChain, LlamaIndex, or similar agentic frameworks. · Strong debugging, profiling, and optimization More ❯

support pre-sales, and build strong partnerships with major tech vendors. 🛠️ What We Need Proven experience designing and deploying agentic AI systems in production Strong understanding of AI/ML techniques including reinforcement learning, LLM agents, and simulations Proficient in Python and Infrastructure as Code for cloud environments Familiarity with AI orchestration platforms like LangChain, AutoGen, CrewAI, or similar More ❯

issues before they scale, ensuring trust, efficiency, and world-class customer experience. Using Python, SQL, cloud-native infrastructure, and large-scale data processing tools, you'll develop production-grade ML models that power live decision-making. What You'll Be Doing: Designing and deploying production-grade ML models that drive live decision-making. Applying computer vision Building fraud and anomaly More ❯

to feel just like talking to a human. Who we are MetaVoice was founded by: Sid, founding engineer at Wayve.ai (raised $1Bn+) Vatsal, co-created Alexa’s first deep learning voice. We’re a small mission-driven team obsessed with making voice the most natural way to interact with AI. … We’re backed by top tier US and European VCs and angels including co-founder of Wayve.ai, ex-VP of Twitter, ex-CTO of CoinBase Requirements & Experience PhD in ML or related field, with publications in top conferences. 1+ yrs of experience in training LLM/diffusion/flow-matching on 1B+ param models OR training SOTA speech models. Experience More ❯

to feel just like talking to a human. Who we are MetaVoice was founded by: Sid, founding engineer at Wayve.ai (raised $1Bn+) Vatsal, co-created Alexa’s first deep learning voice. We’re a small mission-driven team obsessed with making voice the most natural way to interact with AI. … We’re backed by top tier US and European VCs and angels including co-founder of Wayve.ai, ex-VP of Twitter, ex-CTO of CoinBase Requirements & Experience PhD in ML or related field, with publications in top conferences. 1+ yrs of experience in training LLM/diffusion/flow-matching on 1B+ param models OR training SOTA speech models. Experience More ❯

AI/ML Engineer - Hardcore Build Role Salary up to £170k + Equity (London, 6-Day Week currently) Building the AI platform that powers insurance claims, helping people get support at life's most critical moments. Forget the slow, broken way claims are handled today. By blending AI, with specialist expertise to deliver fast, accurate, 5-star experiences. This is … experts to turn messy claim processes into AI-driven workflows Deploy solutions using LLMs, LangChain, and RAG at scale What we're looking for 2+ years in AI/ML engineering or research Proven track record taking projects from idea → production → impact Bias to action: ship fast, iterate faster Able to work with non-technical users and translate complexity into More ❯

the heart of Canary Warf we are looking for financially motivated individuals to join us and set themselves up for a successful career. Specialising in Cloud, Data &AI/ML and cybersecurity we have a combined knowledge of over 15 years+ in the field. Although a relatively new company we have already been able to partnerwith 11 of the top … RULE, to help you get your career off to a flying start, we will provide you with a 3-month free access to Recruitment Mentors. This is an online learning platform that provides bitesize, interactive, and structured learning content delivered by industry-leading recruiters and mentors who have proven track records in their field. An invaluable source of More ❯

processes Develop and implement frameworks for human oversight, trust, accountability, and explainability Conduct ethical risk assessments covering fairness, bias, autonomy, and proportionality of AI decision-making Advise on human–machine interaction, including usability, operator trust, and training requirements Contribute to TEV&V activities with a focus on safety, resilience, and ethical compliance Guide stakeholders on adherence to ethical principles … leadership on responsible AI practices to project teams Required Expertise: Proven experience in responsible AI, human factors, or ethics in technology Track record embedding ethical frameworks into AI/ML assurance processes Strong understanding of bias, fairness, and explainability challenges in AI Applied expertise in human factors, behavioural science, or ergonomics related to technology adoption Ability to bridge technical assurance … centred design, and regulatory compliance Desirable Experience: Experience in Defence, Aerospace, or national security environments Familiarity with MOD or Defence ethical guidance for AI Background in user research, human–machine teaming, or safety-critical systems Why This Role: This is a rare opportunity to influence how AI interacts with humans and society in high-stakes environments. Join a programme More ❯

processes Develop and implement frameworks for human oversight, trust, accountability, and explainability Conduct ethical risk assessments covering fairness, bias, autonomy, and proportionality of AI decision-making Advise on human–machine interaction, including usability, operator trust, and training requirements Contribute to TEV&V activities with a focus on safety, resilience, and ethical compliance Guide stakeholders on adherence to ethical principles … leadership on responsible AI practices to project teams Required Expertise: Proven experience in responsible AI, human factors, or ethics in technology Track record embedding ethical frameworks into AI/ML assurance processes Strong understanding of bias, fairness, and explainability challenges in AI Applied expertise in human factors, behavioural science, or ergonomics related to technology adoption Ability to bridge technical assurance … centred design, and regulatory compliance Desirable Experience: Experience in Defence, Aerospace, or national security environments Familiarity with MOD or Defence ethical guidance for AI Background in user research, human–machine teaming, or safety-critical systems Why This Role: This is a rare opportunity to influence how AI interacts with humans and society in high-stakes environments. Join a programme More ❯