426 to 450 of 627 Machine Learning Jobs in London

from sourcing and screening to proactively building future pipelines across high‐demand specialisms. You'll support hiring needs across roles such as: Data Science Machine Learning & AI Engineering Data Analytics & Data Engineering Product Management Emerging and specialist AI functions This role requires someone comfortable managing executive‐level searches ...

High attention to detail and pride in engineering craft Comfortable operating in ambiguity and moving quickly Bonus points for: Academic or applied experience in machine learning Experience bridging research and production systems What’s on Offer £150,000 depending on experience Meaningful early-stage equity 5% employer pension ...

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 ...

record of closing deals. Based in the UK with experience selling into UK/EU markets. Strong understanding of AI technologies (e.g., generative AI, machine learning, NLP, automation). Excellent consultative selling, communication, and stakeholder management skills. Experience selling into enterprise, healthcare, research tech, or public sector organisations ...

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 ...

high‐impact trading and research platforms. Projects vary from core trading system development to front‐office tooling, data‐driven applications, and the use of machine learning across the investment workflow. It’s a fast-moving, highly technical environment where code quality, performance, and reliability matter. The team runs ...

full-time experience You demonstrate strong programming skills in C++/Java or other object-oriented languages You demonstrate good knowledge of statistics and machine learning You have attention to detail, adaptable, driven and collaborative You demonstrate interest in markets and systematic trading Preferred qualifications, capabilities, and skills ...

environments. Key Responsibilities - Monitor and evaluate emerging IAM trends (e.g., passwordless authentication, decentralised identity, adaptive access controls). - Lead automation and governance initiatives, including machine-learning-based anomaly detection. - Integrate and optimise multi-factor authentication, biometrics, and mobile identity capabilities. - Drive adoption of identity threat detection and response ...

environments. Key Responsibilities - Monitor and evaluate emerging IAM trends (eg, passwordless authentication, decentralised identity, adaptive access controls). - Lead automation and governance initiatives, including machine-learning-based anomaly detection. - Integrate and optimise multi-factor authentication, biometrics, and mobile identity capabilities. - Drive adoption of identity threat detection and response ...

Including use of libraries such as NumPy, SciPy and Pandas for quantitative analysis and prototyping Proven experience applying numerical optimisation techniques and/or machine learning methods to pricing, trading or market-related problems Prior experience in client pricing, electronic trading, or a closely related quantitative trading environment ...

most trusted sports data to some of the world's biggest organizations, across sports, media, and broadcasting. Through the latest AI technologies and machine learning, we combine decades' worth of data with the latest in-game happenings. We then offer coaches, teams, professional bodies, and media channels around ...

rewarding career. We work with a broad range of clients including the majority of the Tier One Investment Banks, SME tech companies in the machine learning/AI spaces, ESG investors and traditional asset managers so successful candidates will acquire a very broad knowledge base across all aspects ...

Antenna Materials Power Semiconductor Devices – including GaN and SiC Materials 5. Emerging & Priority Fields Biomedicine: Cell Therapy, Molecular Immunology, Biopharmaceuticals, Drug Development Artificial Intelligence: Machine Learning, Computer Vision, Intelligent Manufacturing Sustainability: Carbon Neutrality, Environmental Engineering, Green Resources 6. Key Responsibilities Conduct independent and/or collaborative scientific research ...

worked specifically with Guidewire, Duck Creek, or EIS – and can speak to their strengths and limitations from real implementations Experience articulating how AI, machine learning, or automation accelerates insurance product development, underwriting decisions, claims processing, or operational efficiency Track record of winning competitive deals against Salesforce Financial Services ...

involves defining enterprise AI security architecture, securing MLOps platforms, and establishing data protection controls. Candidates should have significant cybersecurity experience, particularly in AI/ML and cloud environments. BNY offers competitive compensation, generous benefits, and a commitment to employee well-being, making it an ideal workplace for innovative talent. #J ...

process trading activity across multiple venues Contribute to trade capture, reconciliation, and position-keeping systems Build internal tooling and infrastructure supporting data analysis and ML workflows Take ownership of projects from concept through to production What we’re looking for: Strong experience with Python (Python 3) Experience building real-time ...

Engine, Cloud Run Pub/Sub, Cloud Storage BigQuery, Vertex AI Google Kubernetes Engine (GKE) Certifications (Preferred) Professional Cloud Architect Professional Data Engineer Professional ML Engineer Package £110,000–£125,000 base salary Bonus + full benefits package Hybrid working (London) Training & certifications ...

scratch Comfortable working in fast-paced, evolving environments Interested in startup or high-growth settings Collaborative, pragmatic, and user-focused Interest in AI/ML is a bonus Additional Information London-based role with primarily in-office working Competitive salary Relocation support available for candidates moving to London from within ...

forecasting, including scenario modelling Experience with major energy hubs (e.g., TTF, JKM) and cross-commodity linkage Solid understanding of feature engineering, statistical modelling, and ML workflows Strong Python skills (e.g., pandas, NumPy, Jupyter) Strong analytical thinking with the ability to simplify complex concepts If this sounds like a good ...

willing to take on any challenge—technical or otherwise—to support the team and deliver results If you are interested in this or other ML Engineering positions, please contact Gilad Sabari @ gilad.sabari@xcede.com ...

essential for this opportunity - Someone who thrives in a scalup and fast paced business and understands what makes money in Product - AI/ML knowledgeable and understands how customers react and use these tools in Ecommerce - Proven track record shipping mobile app features with measurable retention or LTV impact - Deep ...

finance, and reporting landscapes. Act as a design authority within architecture review boards, presenting options and recommendations. Enable data products, advanced analytics, AI and ML use cases including pricing optimisation, fraud detection, and exposure management. Define and embed data governance, quality, master data, metadata, and lineage solutions. Engage senior stakeholders ...

approaches. Familiarity with AI-enabled analytics, Maconomy Digital Assistant (ODA), and Maconomy Autonomous services. Proven experience with Intelligent Automation frameworks — including RPA, AI/ML, NLP, or process mining. Strong leadership and stakeholder management skills, with the ability to engage and influence senior management. ...

Data Science to lead data-driven initiatives. The successful candidate will have strong leadership experience and a profound technical understanding of data science, machine learning, and MLOps. You will develop data strategies, manage a high-performing team, and collaborate across departments to drive innovative AI-driven solutions. This ...

leading data organization in London is seeking a Head of Data Science to define and lead their machine learning strategy. This strategic leadership role focuses on building a high-impact data science function to deliver measurable business outcomes. The ideal candidate has substantial experience in operating at scale ...