151 to 175 of 213 Machine Learning Jobs in Central London

biggest global companies in the world, this is a brilliant 6-month temporary position for French speaking professionals to work as one of their Machine Learning Assistants in their head offices in central London. Working as part of a wider team, the role itself will be undertaking tasks ...

biggest global companies in the world, this is a brilliant 6-month temporary position for French speaking professionals to work as one of their Machine Learning Assistants in their head offices in central London. Working as part of a wider team, the role itself will be undertaking tasks ...

Fine-tune,evaluate,andproductionisemulti-modalLLMsforbusinessapplications. DriveexperimentationandprototypingofadvancedML/AItechniques Providetechnicaldirection,mentoring,andhands-onguidancetothedatascienceteam. Workwithengineering,product,andbusinessstakeholderstoalignMLstrategywithbusinessgoals. Architectandproductioniseend-to-endMLpipelinesonAzure,whileensuringscalability,reproducibility,andmonitoringofdeployedmodels. Requirements 6+yearsindatascience/ML,withatleast2yearsinatechnicalleadrole. Deepexperienceintraininganddeployingcomputervisionmodelsintoproduction ProventrackrecordwithLLMfine-tuning,promptengineeringandproductionisation DeepexperienceinMLOpsonAzure,includingCI/CD,monitoringandscalingpipelines. StrongcodingskillsinPython,withframeworkssuchasPyTorch,FastAPIandAzureCLI. ALL APPLICANTS MUST BE FREE TO WORK IN THE UK Exposed Solutions ...

will bring: Minimum of 5–10+ years in sales, business development, sales strategy or pre‐sales within digital engineering, product engineering, or AI/ML services; Proven success selling nearshore engineering solutions from Eastern Europe (incl. Ukraine); Strong understanding of POD‐based delivery models and scalable team constructs; Ability ...

proficiency in React/Next.js and Python (FastAPI/Django) . Experience shipping scalable, production-grade software. Exposure to or interest in AI/ML-driven products . Startup experience or comfort with high ownership and autonomy is a massive plus . Package: £100,000 base salary + meaningful equity ...

experience in energy analytics and fundamental forecasting , including scenario modelling across short-, mid- and long-term horizons. Understanding of feature engineering, statistical modelling, and ML model training workflows , with the ability to translate business requirements into model-ready datasets. If you are interested in this business analyst role with strong ...

Senior Analyst, Marketing & Data Science The Senior Analyst, Marketing & Data Science is tasked with developing, and delivering advanced ML/AI-based products and analytic solutions. This role will be a critical driver both of technical and effective delivery of advanced analytic solutions. Specifically in the areas of connected measurement … brand & performance media investments. We seek an marketing/data science practitioner who has applied their technical expertise to innovative data engineering and ML/AI modeling problems. The ideal candidate blends technical-domain expertise with hands-on modeling and data engineering experience in leveraging structured & unstructured data and category ...

Senior ML/MLOps Engineer (MLflow) | Databricks | Azure) About Optima Partners We’re an advanced data & business consultancy helping major consumer brands transform through data-driven customer strategy, design, and engineering. Our clients include leading UK and global brands across financial services, retail, and more. Join a practitioner-led, fast … growing team delivering ML systems that actually make it into production. We’re growing our engineering team and looking for an MLOps Engineer who loves building real, production grade ML systems not just proof‐of‐concepts. If you enjoy working across the full ML lifecycle and have strong MLflow experience ...

tech companywants to hear from you. Our clients mission is to help subscription businesses drive customer growth and predict revenue more accurately using machine learning and AI. Their platform empowers businesses to improve customer loyalty and unlock greater revenue from existing customers. Recently listed in Sifteds … health insurance quality care when you need it most Monthly wellness allowance use it on gym memberships, yoga, mental health, healthy food & more Annual learning & development budget invest in your growth Hybrid working 3 days in the office, 2 days where it suits you Top-tier equipment everything ...

projects involving functional programming concepts and languages such as Rust, Erlang, or internally developed languages inspired by OCaml. Building and improving infrastructure that supports machine learning workflows and enhances research models for real-world deployment. We are looking for engineers who have: Strong experience developing software using modern ...

currently the youngest AI business to raise a Series B from the YCombinator portfolio! They have built a product that leans into blending machine learning models and data annotation to help businesses save time and money! What You’ll Get This is a key hire ...

powered by AI. They are a global company with offices across Europe, Canada and the US. Their futureproof, machine learning capabilities are a great advantage to the company's unique selling points and a reason for their current growth. They have are in Series C funding, 500+ employees ...

internationally. Requirements This position requires extensive Product Management experience at an enterprise level with a SaaS background along with strong business acumen. AI or ML product leadership would be highly advantageous along with experience working with international teams. The Product Management Director will be an excellent communicator ...

DACH & US Markets £35-60k Base - 35% Comms no threshold A well-established technology recruitment business with a dedicated focus on AI/ML, Computer Vision, Robotics, and Autonomy is looking to bring on an experienced recruiter to own and build out one of three core markets: UK DACH ...

high-frequency spectrum, however you prefer to think of it). Exceptional research and execution infrastructure. Significant investment in GPU infra to enhance ML/AI-driven research. Experience delivering strategies at Sharpe ~2-3+ is the qualifier. If you're currently running strategies at that frequency and wondering ...

with engineering, security, and support teams to enable deployment, monitoring, and scaled adoption of AI products. Foster a culture of innovation, encouraging experimentation, continuous learning, and collaborative problem-solving across multidisciplinary teams. Your Profile AI Senior Product Owner (9+ Years) Essential skills/knowledge/experience: Proven senior level … vendors and strategic AI platform partners Clear, confident communicator able to operate at delivery, senior leadership, and executive level Strong understanding of AI/ML concepts, including model lifecycle, data pipelines, experimentation, model evaluation, and responsible AI principles. Experience working with modern AI technologies such as LLMs, generative AI, predictive ...

Architecture. Experience in AI-enabled customer experience transformation. Degree in Computer Science, AI, or related field (or equivalent practical experience). Cloud, AI/ML, or CX vendor certifications (AWS/Azure/GCP, Genesys Cloud, OpenAI, Hugging Face, etc.) are a plus. Flexible/remote working options Private healthcare … life insurance Pension plan Cycle-to-work scheme 28 days paid annual leave (including company-wide wellbeing days) Access to LinkedIn Learning and ongoing development programs If you’re ready to shape the future of AI-driven customer experience and thrive in a collaborative, fast-paced environment ...

observability using Cloud Logging, Cloud Monitoring, Error Reporting, Trace, and Profiler; build model/LLM telemetry dashboards and alerts. Identify the right AI/ML frameworks, cloud services, model orchestration tools, and infrastructure components that align with business needs and scalability goals Architect APIs, microservices, and integration patterns that embed … model risk management, and LBG internal policies. Knowledge of banking processes: retail banking, lending, payments, compliance. Strong experience designing end to end AI/ML architectures, including data ingestion, feature engineering, model training, deployment, and monitoring. Hands on expertise with cloud AI platforms (GCP). Strong knowledge of LLMOps practices ...

from the ground up. What you'll own: Build end-to-end product features across the full stack (frontend, backend, infra) Integrate AI/ML capabilities — risk stratification, smart triage, personalisation Build privacy-first, regulatory-compliant infrastructure (UK GDPR, NHS DSPT, MHRA) Shape and evolve the architecture and technical foundations … stage product teams: you've shipped and scaled full stack products Strong backend (Node.js, Python/Flask, FastAPI) and frontend (React, Next.js, Vue) fundamentals ML/data science proficiency: Python, SQL, pandas, scikit-learn, PyTorch/TensorFlow Experience with cloud platforms (AWS, GCP, Azure) and containerisation (Docker, Kubernetes) Proven ability ...

schema validation, completeness, freshness, thresholds, and automated alerting. Enhance end-to-end pipeline resilience, monitoring, observability, failure handling, and recovery mechanisms. Integrate AI/ML features to boost reliability, anomaly detection, and operational efficiency. Collaborate closely with Data Product teams, Analytics Engineering, and Data Science to deliver production-grade data … expectations. Preferred Experience: Exposure to AI-enabled pipeline capabilities, such as anomaly detection or intelligent monitoring. Good understanding of MLOps or supporting deployment of ML models into production environments. Experience with CI/CD automation, testing frameworks, and observability tooling. Contracting Route: Timesheets via Umbrella Company This is an exceptional ...

data enabled future. Your responsibilities: Define and maintain conceptual, logical, and physical data models that accurately reflect business processes and support analytics, AI/ML, and operational needs. Translate business requirements into robust data entities, attributes, relationships, and constraints; ensure traceability from requirements to models. Establish and enforce GDM modelling … . Drive data integration design across sources (CDC, event streaming, APIs), mapping source-to-target, resolving conflicts, and handling historical changes. Support AI/ML readiness by modelling features, aggregations, and histories; collaborate on feature stores and model input/output schemas. Embed privacy and security requirements into models ...

Azure Data Lake). Familiarity with Microsoft Purview and broader governance practices. Dynamics 365 CE and FO integration and analytics. Exposure to AI/ML enablement in Microsoft ecosystem (e.g., Azure ML/AI Foundry/Azure OpenAI), particularly where analytics feeds AI-powered apps. Experience designing BI/data ...

Middleware Integration: Practical experience building recipes or connectors in Workato to trigger AI workflows from external business events is a strong plus. · Data & Traditional ML: Experience with Databricks for data engineering (PySpark) or building classical ML models (Scikit-Learn, XGBoost) is beneficial for handling complex data pre-processing and hybrid ...

deployment → monitoring → iteration Make pragmatic trade-offs between speed, quality and technical elegance Product & User Impact Translate messy real-world user problems into testable ML solutions Partner closely with Product to ensure models improve user trust, confidence and discovery Focus on feature value, ROI and the signals that truly matter … frameworks and evaluation pipelines Decide where data investment matters most Technical Direction & MLOps Establish pragmatic MLOps practices (deployment, monitoring, iteration) Build scalable but lightweight ML pipelines in AWS alongside engineering Ensure models are robust, reliable and safe for production Team & Culture Set the technical bar for data science Mentor future ...

using modern cloud platforms (AWS/Azure/GCP). Build scalable APIs, inference pipelines, and end‐to‐end MLOps workflows (MLflow, Kubeflow, Azure ML, Vertex AI, etc.). Shape the future of our AI platform Prototype bold new ideas fast. Iterate with a “learn quickly, ship often” mindset. Collaborate … experts to identify high impact use cases and refine strategy. 🛠️ What You Bring Must‐Haves Strong Python engineering skills and experience shipping AI/ML systems into production. Hands‐on experience with LLMs, RAG, Transformers, or NLP/IR architectures. Experience with prompt engineering, evaluation, and optimisation techniques. Comfortable working ...