851 to 875 of 2,708 Machine Learning Jobs in London

technical blog posts Qualifications 8-12+ years engineering experience 3+ years in customer-facing or FDE roles Proven track record deploying AI/ML or data-intensive applications in production Strong full-stack skills: Python, Node.js/Go, React/Vue, SQL, REST/GraphQL DevOps proficiency: Docker, Kubernetes ...

however candidates must be within commutable distance of the London office for occasional onsite visits). This is a highly hands‐on, AI/ML-enabled engineering position focused on building the platforms and automation that power modern software and AI workloads across the firm. The successful candidate must ...

understanding of (Intune, Workspace ONE, JAMF) and how AI enhances device experience.· Strong knowledge and firsthand experience of deploying/implementing of AI/ML concepts, including LLMs, chatbots, predictive analytics, and automation frameworks.· Associate and professional level certifications in Microsoft 365, Azure AI, Google Cloud, or ServiceNow.· Experience delivering ...

with deploying and operating AI systems in production environments Understanding of model evaluation, data quality, and performance monitoring Experience using cloud AI platforms (Azure ML, OpenAI, or similar) Enjoy travel and are comfortable with travel up to 25% Our team prides itself on embracing a growth mindset, inspiring excellence ...

monitor and support cloud applications Architect end to end solutions that support the ingestion, processing and storage of data, including, potentially, the deployment of ML or AI models Architect and make recommendations to rationalise, simplify or optimise architectures Make recommendations that may support the following: Digital sovereignty Compute optimisation Cost ...

business development, sales, or channel development in the technology industry. Experience participating in or coordinating artificial intelligence and machine learning (AI/ML) technical transformations utilizing a forward deployed engineering (FDE) or embedded delivery model. Preferred qualifications: Experience launching partner products and solutions, including complex channel ...

knowledge might lend itself to fulfilling this role and help us achieve our goals. What you need to have: Demonstrable experience delivering AI/ML solutions in a professional environment, with a track record of taking projects from concept through to production. Strong technical knowledge, including proficiency in Python … experience with core data science and ML libraries (e.g., scikit-learn, pandas, PyTorch or TensorFlow). Practical experience with Databricks, including MLflow for experiment tracking and model management, and Spark-based data processing. Familiarity with Generative AI concepts and tooling, including working with LLMs, prompt engineering, RAG patterns, and vector ...

scalable APIs to support AI workloads, including LLMs and GPU-based services. You’ll collaborate closely with cross-functional teams—including platform, backend, and machine learning engineers—to design, develop, and maintain scalable test automation frameworks and quality engineering solutions. You’ll help ensure the reliability, performance … Preferred Skills (Nice to Have) Strong understanding of modern DevOps workflows and CI/CD practices Experience building automated testing solutions for AI/ML platforms, LLM‐serving infrastructure, or GPU workloads (e.g., vLLM, KServe) Experience with performance, load, resilience, and scalability testing of distributed systems Experience implementing quality gates ...

Applied Artificial Intelligence and Machine Learning team in Corporate and Investment Banking is transforming the operations of the world’s largest bank by leveraging the latest advancements in open source artificial intelligence and proprietary frontier models. To facilitate rapid growth, the team is focusing expertise in key "Domains … contributions to open source projects and/or led the development and maintenance of AI systems vital to business operations. As an Applied AI ML Director within the Corporate and Investment Banking Applied AI team, you will lead a team of experts to develop horizontal capabilities through APIs, libraries ...

working at the intersection of data science and engineering on GPS, inertial, and other sensor data. You'll move between quick heuristics and full ML models depending on what the problem calls for. You ship code to production, not just notebooks. RequirementsWhat You'll Be DoingWork with raw, high-frequency … production: prototyping in notebooks, then writing the production-grade Python and SQL that scales. Prioritise simple, robust solutions, rule-based when that's enough, ML when it's warranted. Lead experiments, validate impact with data, and automate insight generation. Collaborate closely with software engineers, product managers, and and actuaries ...

technology, engaging with organisations at all stages of their cloud journey, from infrastructure modernisation and application migration through to advanced analytics and AI/ML workloads. Solutions Architects also take a leading role in creating and presenting technical content and best practices. Our Senior Solutions Architects are expected to build … building data platforms, or deploying AI-powered solutions. To do this they collaborate with other teams such as account management, professional services, AI/ML specialist teams, support, product teams, and the AWS partner ecosystem. In this role you will get to practice your creativity, linking technology to tangible solutions ...

moment — and measures whether it worked. Here's how you'll be contributing to CRM:You will design and maintain the data pipelines and ML-ready tables that power feature generation, model training, inference and impact measurement – with clear ownership of data quality, reproducibility and training-serving consistency. You will … expert knowledge of SQL and can write, debug and optimise complex queries against a warehouse. You have hands-on experience shipping and operating predictive ML models or recommendation systems in production (classification/propensity/churn/next-best-action) — end-to-end from feature pipelines (SQL or feature store ...

summarisation, contextualisation and other processing of unstructured content. Most use cases are creative chains of multiple steps drawn from data processing, exploratory analysis, fundamental ML, NLP, SQL, LLMs and integration into our live systems. What you’ll do Lead the team Manage, coach and develop Penta’s Data Science team … will lead a team working at the frontier of applied AI and data science, combining production LLM workflows, advanced prompting, agentic tooling, NLP, ML and large‐scale content processing. You will set its direction, raise its delivery bar, grow its people through hands‐on coaching, and lead from the front ...

Faculty Science Limited is hiring a Machine Learning Engineer to bring production-grade ML into real-world client solutions. You will help shape scalable software architecture, define best practices for deployment and work with cross-functional teams to ensure timely delivery of high-quality ML systems. You will … operate across the full ML lifecycle, applying frameworks like TensorFlow or PyTorch, and leverage cloud platforms and container orchestration to deploy at scale. #J-18808-Ljbffr ...

independently operating Solutions Architect. What we look for Experience, technical customer‐facing with a background ideally in Data Science/Generative AI/Machine Learning, but will also consider Data Warehousing or Data Engineering. You will be working in the following vertical sectors: Entertainment, Media, Telco and/ ...

London is seeking a Senior Machine Learning Engineer to build production-grade AI agents and scalable ML-powered services. You will design, implement, and monitor agentic systems that automate complex underwriting decisions, collaborating with data scientists and software engineers in a fast-paced Data & AI unit. The role ...

production scale. Lead and mentor data scientists and engineers, fostering technical excellence and a culture of continuous learning. Safely integrate and operate AI/ML‐enabled solutions that improve outcomes, ensuring models are reliable, ethical, and scalable. Co‐own with Product and business leaders the metric frameworks and decision workflows … testing, quasi-experiments, and causal inference methods (e.g., Pre/Post, causal impact, multivariate, multi-armed bandit)You have hands-on experience building ML/NLP models at production scale (e.g., text classification, semantic similarity, quality scoring)You have advanced proficiency in SQL and Python, with ability to write clean ...

production scale. Lead and mentor data scientists and engineers, fostering technical excellence and a culture of continuous learning. Safely integrate and operate AI/ML-enabled solutions that improve outcomes, ensuring models are reliable, ethical, and scalable. Co‐own with Product and business leaders the metric frameworks and decision workflows … testing, quasi-experiments, and causal inference methods (e.g., Pre/Post, causal impact, multivariate, multi-armed bandit) You have hands‐on experience building ML/NLP models at production scale (e.g., text classification, semantic similarity, quality scoring) You have advanced proficiency in SQL and Python, with ability to write clean ...

production scale. Lead and mentor data scientists and engineers, fostering technical excellence and a culture of continuous learning. Safely integrate and operate AI/ML-enabled solutions that improve outcomes, ensuring models are reliable, ethical, and scalable. Co-own with Product and business leaders the metric frameworks and decision workflows … testing, quasi-experiments, and causal inference methods (e.g., Pre/Post, causal impact, multivariate, multi-armed bandit) You have hands-on experience building ML/NLP models at production scale (e.g., text classification, semantic similarity, quality scoring) You have advanced proficiency in SQL and Python, with ability to write clean ...

with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation.With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM’s product and technology landscape. Here, you’ll have the tools and opportunities to advance … database basics:Understands REST APIs, HTTP fundamentals, SQL, and basic system design concepts such as client-server architecture and caching. Ownership and learning mindset:Takes initiative, seeks feedback, learns quickly, and can deliver assigned tasks with minimal supervision. Strong communication and collaboration:Communicates progress, asks thoughtful questions when blocked ...

distributed or large-scale training and inference Deep understanding of at least one major deep learning framework (ideally PyTorch) Experience building and operating ML systems on cloud platforms Passion and determination Able to grind through complicated and ambiguous problems Delivery-oriented; respects timelines and commitments Openness to disagreement Onsite … technical guardian for the model's quality and Service Level Objectives (SLOs). Provide a hands-on solution architecture for the core ML infrastructure. Select, evaluate, and implement state-of-the-art technologies (e.g., distributed training, specialized hardware, efficient serving frameworks). Profile and optimize the end-to-end ML ...

London is seeking an experienced Machine Learning engineer to drive product-focused ML features. You will lead prototypes to production, collaborate with Product and Design, and mentor other engineers. The role emphasizes researching algorithms, evaluating models offline, and shipping ML products that impact customers. ...

operations. Designing and implementing high-performance optimisation algorithms and production-grade solutions using Python, C++ and commercial optimisation solvers. Integrating optimisation, simulation and reinforcement learning techniques to solve complex multi-stage decision problems. Partnering with senior stakeholders to translate business challenges into mathematical models with clear operational and commercial … functional teams. Significant relevant industry experience within operations research and optimisation, with evidence of technical leadership progression. Cloud-based optimisation platforms and distributed computing. Machine learning and hybrid optimisation approaches. Simulation, reinforcement learning and advanced heuristic methods. Commercial airline operations, crew planning systems or aircraft scheduling. Aviation ...

data engineering is practised across the organisation. This is an opportunity to have genuine technical influence, working on platform capabilities that support analytics, machine learning, AI initiatives, and data-driven decision-making at scale. You will be expected to be able to drive forward the transition … implementation and adoption of data quality, observability, security, testing and deployment including creating and sharing standards Partner closely with Analytics Engineers, Data Scientists, ML Engineers, and product teams to ensure platform capabilities solve real-world problems Evaluate and introduce new technologies, helping the business adopt modern approaches to data engineering ...

pragmatism and are comfortable operating at pace in an entrepreneurial environment. Your experience and expertise include: A strong understanding of AI and data technologies (machine learning, NLP, computer vision, generative and agentic AI) and their application to operational efficiency. Proven success managing cross-functional AI or digital transformation … Business, or Operations Management (or equivalent).5–10 years' experience in AI project delivery, digital transformation, or technology-enabled consulting. Certifications in AI/ML, Agile, or Change Management are an advantage. Fluent in English (additional languages a plus).Based ideally in the UK with flexibility to work regionally. ...