301 to 325 of 484 Machine Learning Jobs in Central London

Strong systems thinking, balancing speed with long-term architecture and designing modular interfaces that prevent tooling sprawl. Experience implementing logging, observability, and evaluation for ML or AI systems. Ability to communicate clearly across disciplines and translate real scientific workflows into robust software. Nice-to-have experience Experience with agent frameworks … retrieval-augmented generation, or multi-agent systems. Familiarity with ML experiment tracking or model registries and data orchestration platforms. Exposure to knowledge-graph or evidence-graph representations and structured scientific reporting. Interest in plant biology, gene regulation, or crop improvement (not required). Benefits Competitive salary and equity options. Generous ...

year forecasting across a large and rapidly expanding estate Partner with research, compute, and data engineering teams to ensure storage behaviours align with modelling, machine learning, and high-performance workloads Introduce and champion automation, Infrastructure-as-Code, and DevOps-oriented ways of working across the storage function Collaborate … enhance platform reliability Familiarity with CI/CD, configuration automation, observability tooling, and SRE-style operational thinking Understanding of how demanding compute or ML workloads consume storage, including performance characteristics and access patterns Experience integrating cloud storage - preferably AWS - into hybrid or on-premises architectures A strong focus on secure ...

ownership, and decision rights Strengthen enterprise data governance, data quality, and ethical AI standards AI Enablement & Innovation Champion the responsible adoption o f AI, machine learning, and automation, embedding best practices around model governance, risk, and compliance Partner with technology, product, and business leaders to embed AI into … Chief Data Officer/Executive Data & AI leadership level within large, complex organisations. Strong background in enterprise data strategy, advanced analytics, and AI/ML adoption Demonstrated ability to make rapid impact in an interim or transformation environment. Experience designing and implementing data and AI operating models and governance frameworks ...

forward-deployed engineer, working closely with both technical teams and business stakeholders. What You’ll Bring Proven experience deploying enterprise-grade AI or machine learning solutions in cloud and/or on-premise environments. Hands-on familiarity with at least one major cloud provider and strong DevOps skills. … paid holiday plus bank holidays (carry over/sell up to 5 days) Work abroad days and flexible benefits, including Health/Dental Insurance Learning & development budget, tech purchase support, office snacks, team events, referral bonuses Interview Process Initial screening call Hiring manager/team interview (30-45 mins ...

most established names in their sector are on the lookout for a Director of Data Science to lead the Data Science, Machine Learning & Advanced Analytics capability. as the Director of Data Science, you will take over a number of teams and be the strategic leader in enhancing current ...

proficiency in adopting and implementing new technology Experience with collaboration software applications such as HighQ, Legatics, SmartSheet, or SharePoint Knowledge of generative AI or machine learning based legal software such as Harvey, CoCounsel, and Kira would be highly advantageous Experience with document automation software such as Contract Express ...

enhance core trading systems, research tooling, and data-driven applications. Projects span proprietary trading system development, front-office tools, and the application of machine learning across the investment process. The environment is fast-paced, collaborative, and a highly technical one where code quality and low latent systems ...

roles across the UK and Europe. We focus on connecting high-growth tech companies, scale-ups, and startups with top-tier talent in AI, machine learning, data engineering, software development, and associated roles. As a Senior Consultant, you will play a critical role in building this division from ...

Empathy and people skills Desirable experience Working at a technology consultancy Pair programming Working with data scientists to productionise advanced data deliverables, such as machine learning models Infrastructure-as-Code (e.g. Terraform, Cloud Formation) Working knowledge of statistics Working with multidisciplinary digital and technology teams Working within ...

Experience with backend systems, async code, and debugging production issues. Comfortable working directly with customers and cross-functional teams. Nice-to-have: experience integrating ML models, voice-stack exposure. ...

Staff level Software engineer with strong skills, in ETL & orchestration tools, Experience processing large datasets or high-volume event streams. Background in AI/ML data pipelines. Ability to lead a small team. Early stage start up experience with a high agency mindset. ...

across product, design, and AI. Key requirements: 5+ years of fullstack development experience. Strong skills in React, TypeScript Node AWS Experience integrating AI/ML via APIs If you’re a Senior Fullstack Developer who enjoys the idea of working in an EdTech Start-up, please apply. ...

across product, design, and AI. Key requirements: 5+ years of fullstack development experience. Strong skills in React, TypeScript Node AWS Experience integrating AI/ML via APIs If you’re a Senior JavaScript Developer who enjoys the idea of working in an EdTech Start-up, please apply. ...

global consumer platform. High-impact work, real ownership, and a mission-driven environment. What you’ll bring: 7–8 years’ experience in AI/ML/software engineering Strong STEM/quantitative background (Physics, Maths, Engineering, etc.) Solid coding skills and ability to build end-to-end AI solutions Experience ...

leading large, cross-functional data teams in complex organisations. Deep understanding of modern data architectures, platforms, and tools (e.g. Snowflake, cloud ecosystems, AI/ML) Skilled in delivering enterprise-scale data strategies that drive measurable impact Strong leadership, stakeholder engagement, and communication skills. ...

program management (AI, data, tech or consulting preferred) Strong experience delivering complex, cross-functional initiatives Excellent communication & stakeholder management skills Familiarity with AI/ML workflows Bachelor’s degree (PMP/PRINCE2 is a plus) On offer is a strong package/bonus and chance on some of the biggest ...

shifting energy usage to cleaner, cheaper periods. It’s large-scale optimisation across EVs, home batteries, and heating systems - all driven by data and machine learning. They’re backed by leading investors, scaling quickly, and building the core technology behind a smarter, low-carbon energy network. 💡 Why join: Work ...

data-intensive workloads, while collaborating closely with engineering, data, and business teams. You’ll also stay at the forefront of cloud, container, and ML/AI infrastructure, driving adoption where it adds value, all while contributing directly to architecture, implementation, and mentoring your team. Naturally, you’ll ideally have ...

extended team to identify AI use cases across the client and support the assessment of technical feasibility of these use cases. Understanding of AI, ML and GenAI tools, such as GPT models, and Agentic AI frameworks. Experience across: Solution Design: Lead the design and architecture of solutions, ensuring scalability, security ...

technical thinking to a business investing heavily in next-gen digital experience What We’re Looking For 7–8 years’ experience across AI/ML/advanced engineering Strong STEM/quantitative background: Physics, Maths, Engineering, Data Science, etc. Excellent coding skills and experience building production-grade AI systems Experience ...

systems using modern integration frameworks. Stay at the forefront of SAP innovation, advising on emerging capabilities such as SAP BTP , AI/ML , and intelligent automation . Essential Skills & Experience: Extensive experience as an SAP Enterprise Architect leading complex SAP transformation programmes. Deep understanding of SAP S/4HANA , Cloud ...

core applications. Ensure seamless integration with existing platforms, data feeds, and risk systems. Innovation & Continuous Improvement Identify opportunities to leverage emerging technologies (AI/ML, cloud, advanced analytics). Drive ongoing improvement in system reliability, usability, and performance. Increase user adoption and improve trader experience. Governance & Compliance Ensure all technology ...

Performance bonus Private healthcare Generous holiday allowance Truly exciting, career-defining work 🔧 Upcoming Roles Include: Software Engineers Data Engineers & Scientists Forward Deployed Engineers DevOps & ML Engineers Technical Leads & Architects Development Strategists Product Managers & Reliability Engineers Data Engineers Threat Analysts This is a rare opportunity to be part of something meaningful ...

insights. Establish governance, standards, and guardrails for responsible AI, ensuring compliance, transparency, and model integrity. Build and scale a central AI enablement function, including ML engineering, model operations (MLOps), and AI product management. 5. Leadership & Stakeholder Engagement Serve as the senior advocate for data and AI innovation, influencing executive-level ...

bias testing). The roles will sit within AI Risk & Oversight within the wider Model Validation team. Key Responsibilities Deliver assigned AI/ML model validations end-to-end, producing clear conclusions and evidence aligned to internal governance expectations. Assess and challenge model design, data, controls, implementation approach, and monitoring ...