351 to 375 of 696 Machine Learning Jobs in London

landscape and the challenges and opportunities faced by government agencies Deep knowledge of data analytics and related technologies, including cloud computing, artificial intelligence, and machine learning Excellent communication, presentation, and negotiation skills Proven leadership ability, with a track record of building and motivating high-performing teams. ...

distributed systems Desirable Experience Betting, gambling, or other real-time domains (e.g. trading, finance) DevOps, CI/CD, AWS, Terraform Exposure to data science, ML, or real-time telemetry Senior Software Engineer - Python - London ...

efforts in the UK market. The ideal candidate will have a proven track record in selling digital transformation solutions around Data, Cloud, AI/ML, GenAI and a deep understanding of the Retail, CPG, and Manufacturing sectors. This role requires a strategic thinker with excellent leadership skills, who can drive ...

Experience: The incumbent should have 1012+ years of experience in IT services sales in the European market , with at least 5+ years selling AI, ML, and data-led solutions . Exposure to the EMEA region is highly desirable, with a proven track record of closing large, complex AI transformation deals ...

leadership and mentoring to delivery teams Key Skills 15+ years in technology consulting, digital transformation, or advanced analytics 5+ years hands-on AI/ML experience with strong focus on Generative AI and Agentic AI Expertise in LLMs, agentic frameworks, orchestration patterns, and RAG pipelines Experience with vector databases, embeddings ...

Experience Core Experience 15+ years of experience in technology consulting, digital transformation, or advanced analytics 5+ years of hands‐on experience in AI/ML, with strong recent focus on Generative AI and Agentic AI Proven experience leading complex enterprise deals and large‐scale solutioning efforts Technical Expertise Strong hands ...

APIs (OpenAI, Anthropic, DeepSeek, Qwen) Exposure to Docker or Kubernetes Familiarity with cloud providers (AWS/Azure/GCP) Coursework or experience in ML, transformers, NLP, or distributed systemsBonus (not required) Interest in real estate Interest in finance or quantitative modelling Experience building agents (LangChain, LlamaIndex, custom architectures) What ...

load Cloud or serverless deployment experience (AWS, GCP, Azure, or Vercel/similar) Database schema design and query performance optimisation Familiarity with AI/ML tooling or LLM integrations in production systems SaaS, CRM, or enterprise platform experience Agile or Scrum certification (though practical experience is more important ...

rules-based logic. Job Description We are hiring a Senior QA Engineer to own quality across the entire platform — from data pipelines and ML models to backend services and user-facing applications. This is not a manual testing role. We're looking for someone who can build automated test infrastructure … design performance benchmarks, validate ML outputs, and ensure data quality at every stage of the system. You'll be the first dedicated QA hire in a team of 6 engineers. This means full ownership: you'll define our quality strategy, build the testing infrastructure from scratch, and be accountable ...

contribute to long-term autonomous fleet orchestration capabilities. You will work on logistics optimisation, real-time decision systems, simulation and operational experimentation, applying ML in complex, real-world environments. What You’ll Work On Build predictive models using geospatial and time-series data (demand, driver behaviour, trip outcomes) and evaluate … them using operational business metrics Partner with operations and senior team members to translate operational challenges into measurable ML problems and propose appropriate modelling approaches Engineer features, analyse large datasets using Python and SQL, and identify useful external data sources Design and support experiments contributing to fleet positioning and planning ...

inform pricing, risk and supply chain strategy, while helping shape how data science is embedded across the business. Key Responsibilities • Build and deploy predictive ML models for pricing, risk and demand forecasting • Lead time series and regression modelling to anticipate market shifts • Design and implement experimentation frameworks (A/… base • Working model: Hybrid, minimum 1 day per week in London (likely moving to 2–3) • Tech stack: Python, SQL, Azure ML, cloud-based data platforms • Visa sponsorship: Not confirmed Interested? Please apply below. ...

Engineering Manager will combine deep domain expertise in safety‐critical systems with a hands‐on, collaborative approach, working closely with systems, software, hardware and machine learning teams. This is a high‐impact position with significant ownership and the opportunity to shape safety engineering practices, tooling and standards from … domain‐specific AI/robotics safety guidance). Collaborate with cross‐functional teams (systems architecture, software, hardware, ML) to embed safety considerations across the full product lifecycle. Support safety reviews, audits and certification activities, including engagement with regulators and independent assurance bodies. Establish and continuously improve safety engineering plans, processes ...

fast-scaling consumer technology business with a strong data culture and a product ecosystem used globally. Their teams work collaboratively across product, engineering, and machine learning to deliver an exceptional user experience. Data is central to how they build, test, and iterate, giving you a clear platform … interpret A/B tests to guide experimentation.* Build dashboards and reporting that support self-serve analytics across teams.* Collaborate with data, engineering, and ML teams to ensure robust, scalable datasets. Your Skills and Experience You will need* Strong commercial experience using SQL to query large, complex datasets.* Working capability ...

observability tools (e.g., Datadog, Prometheus, Open Telemetry). Strong understanding of Machine Learning Operations (MLOps) and how data platforms support the full ML lifecycle. At JET, this is on the menu: Our teams forge connections internally and work with some of the best-known brands on the planet ...

collaborate with an exceptional team of top engineers, scientists, and builders, all obsessed with embodied AI reshaping the manufacturing world. About you A machine learning mage: You write clean, scalable, high-performance deep learning code. You take pride in your craft. Proficiency in PyTorch, Tensorflow ...

Ecosystem The full modern Microsoft data stack: Fabric, Azure Data Factory, Synapse, Azure SQL, Azure Storage and Power BI. Advanced AI technologies including machine learning, generative AI, cognitive services, and responsible AI frameworks. Power Platform & Dataverse A heavy focus on Power Platform and Dataverse, as all customer data … platforms. Confident communicator able to own presales and C-suite conversations. Knowledge of Dynamics 365, DevOps pipelines and Agile delivery. Experience with ML, generative AI and cognitive services. Expertise in lakehouse, data mesh, ELT/ETL, MDM and modelling techniques. Ability to guide delivery teams without being the hands ...

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 ...

energy trading, commodities, or financial markets. Understanding of curves, market data, pricing models, algo workflows, and analytics platforms. Quantitative skills in statistical modelling, machine learning, or computational analytics. Experience leading multi-country engineering organisations and large-scale platform transformations. Strong stakeholder management, prioritisation, and delivery discipline in fast ...

cost-to-serve. AI tools that improve customer experience, retention and operational efficiency. What We’re Looking For Strong experience building applied AI or machine learning systems in production environments. Advanced Python skills and hands-on experience with modern AI tooling (e.g. LLM frameworks, vector databases, orchestration libraries ...

cost-to-serve. AI tools that improve customer experience, retention and operational efficiency. What We’re Looking For Strong experience building applied AI or machine learning systems in production environments. Advanced Python skills and hands-on experience with modern AI tooling (e.g. LLM frameworks, vector databases, orchestration libraries ...

Looking For Strong research credentials (PhD, MPhil, MSc, or equivalent research experience). Familiarity with Python‐based research frameworks. Strong foundational knowledge in machine learning, foundation models, or multimodal AI. Enthusiasm for AI safety, guardrails, and responsible‐AI frameworks. Experience building or fine‐tuning models (open‐source ...

administration and security across cloud-based IaaS, PaaS, and SaaS environments on Windows platforms Desirable Experience with Power BI Exposure to AI and machine learning workloads Data warehousing and analysis services experience (Azure-based preferred) Experience with Azure DevOps pipelines Relevant Microsoft certifications, such as Azure Database ...

design, application development, testing, and operational stability within cloud environments. * Front End development experience using React. * Deep expertise in cloud-native systems, AI, and machine learning, with strong implementation experience on AWS. * Proven self-starter with the ability to independently design solutions and own execution ...

understanding of the UK regulatory and legislative landscape relating to AI and financial services. Experience working closely with AI product teams, data scientists, or machine learning engineers. Excellent stakeholder management skills with the ability to influence senior leadership and guide strategic decision-making. Strong communication and engagement skills ...

understanding of the UK regulatory and legislative landscape relating to AI and financial services. Experience working closely with AI product teams, data scientists, or machine learning engineers. Excellent stakeholder management skills with the ability to influence senior leadership and guide strategic decision-making. Strong communication and engagement skills ...