126 to 150 of 295 Machine Learning Jobs in Central London

client feedback to enhance product performance. Take part in design and architecture discussions. About you Master’s or PhD in AI, Machine Learning, Data Science … Computer Science (Russell Group or similar). Strong Python skills (Pandas, NumPy). Experience or exposure to NLP, transformers, and LLMs. Familiarity with ML tools like Weights & Biases or MLflow is a plus. Curious, proactive, and confident working independently. Ideally based near London for occasional client visits. 📩 Interested? Message ...

team. Development experience in one or more object-oriented programming languages (e.g. Python, Java). Thorough understanding of underlying mathematical foundations of statistics and machine learning. Can build scalable, re-usable, impactful data science products, usually containing statistical or machine learning algorithms, in collaboration with data engineers ...

integration layer to our core AI Service Bus (Apache Kafka). Cross-functional Collaboration ? Work closely with the Scam Detection Service and AI/ML teams to define the feature vectors and data payloads needed from the network to power our proprietary machine learning models. ? Partner with product ...

cutting-edge AI tools. The Candidate Key attributes of the suitable Data Scientist include: Strong Data Science Foundations – bring solid grounding in statistics and machine learning, along with strong programming skills – Python preferred. Passion for Cutting-Edge AI – You actively experiment with and apply modern AI technologies such ...

part in developing the tools, infrastructure and analytics that drive the firm’s ESG and sustainability capabilities. Key Responsibilities: Build analytics tools and machine learning models to assess ESG and sustainability characteristics of companies Design and implement scalable, high-performance sustainability data systems and infrastructure Develop, maintain ...

tasks simultaneously. Desirable Skills Prior experience in market analysis, commercial insight, or strategy-focused analytical roles (internships welcome). Knowledge of predictive modelling or machine learning techniques. Familiarity with B2B services, technology, or related industries. Experience with cloud-based analytics platforms or big data technologies. What ...

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. ...

enhancement, enablement, and optimisation of a modern data platform, with a strong focus on Snowflake, Fivetran, and DataOps tooling. Work across ETL, data warehousing, ML, automation, and governance to deliver scalable, high-quality data solutions. Drive best practices in security, compliance, and operational excellence across enterprise data operations. ...

Redis - caching & high-speed data access Elasticsearch - search & indexing strategies Other modern data technologies for fast storage and retrieval Strong expertise in AI/ML integration within enterprise architectures Deep knowledge of data modelling, distributed systems, and micro-services Experience with cloud platforms (AWS, Azure, GCP) and containerisation (Docker, Kubernetes ...

direct reports Strong analytical mindset and data-driven decision-making Understanding of API integrations and Agile methodologies Bonus: Experience building optimisation or AI/ML-powered AdTech solutions Background growing products across multiple verticals Industry thought leadership or published content Experience working with enterprise clients and complex sales cycles Previous ...

direct reports Strong analytical mindset and data-driven decision-making Understanding of API integrations and Agile methodologies Bonus: Experience building optimisation or AI/ML-powered AdTech solutions Background growing products across multiple verticals Industry thought leadership or published content Experience working with enterprise clients and complex sales cycles Previous ...

Review solution designs, code approaches, and system performance to maintain engineering quality. Stay current with emerging technologies (event-driven design, serverless, containers, AI/ML, data modernisation) and advocate where valuable. Troubleshoot and resolve technical challenges during build and release phases. Partner with DevOps teams to ensure seamless integration, automation ...

design of AI strategies, governance models and platform architectures aligned to business outcomes. • Design end-to-end AI solutions, including data ingestion, feature engineering, ML/GenAI models, MLOps and deployment. • Support pre-sales activity, including solution shaping, technical validation, demos and customer presentations. • Bridge multiple technology domains (cloud, hybrid … best practices. • Mentor and support less experienced team members, contributing to team-wide capability development. Skills & Experience Required • 5+ years’ experience in AI/ML, data platforms, MLOps or advanced analytics roles. • Recognised as a technical expert by colleagues, partners and customers. • Strong hands-on knowledge of AI/ML ...

design of AI strategies, governance models and platform architectures aligned to business outcomes. • Design end-to-end AI solutions, including data ingestion, feature engineering, ML/GenAI models, MLOps and deployment. • Support pre-sales activity, including solution shaping, technical validation, demos and customer presentations. • Bridge multiple technology domains (cloud, hybrid … best practices. • Mentor and support less experienced team members, contributing to team-wide capability development. Skills & Experience Required • 5+ years’ experience in AI/ML, data platforms, MLOps or advanced analytics roles. • Recognised as a technical expert by colleagues, partners and customers. • Strong hands-on knowledge of AI/ML ...

tooling that supports AI-native workflows. Establish best practices for prompt engineering, model fine-tuning, and evaluation. Stay current with developments in AI/ML and apply relevant research to product needs. Participate in design reviews, code reviews, and incident response. Qualifications Bachelor’s degree in Computer Science, Engineering … experience with proven expertise in at least one programming language (Python/Java/Typescript) with experience building APIs and integrating backend systems. Solid Machine Learning fundamentals. Model Context Protocol for managing context and tool interfaces for agents. LLM integration patterns, including prompt orchestration and tool calling. Retrieval ...

salary £60,000- £90,000 dependant on location and experience Technical stack: Azure AI solutions, including Azure OpenAI Service, Azure Cognitive Services, and Azure Machine Learning Requirements Extensive experience with Azure AI solutions, programming expereince (Python, C#, or Java) Thisis a brilliant new role, and an opportunity … Java, with a deep understanding of software development principles. Extensive experience with Azure AI solutions, including Azure OpenAI Service, Azure Cognitive Services, and Azure Machine Learning. Familiarity with Azure Databricks is a plus. Understanding of CI/CD pipelines, containerization (Docker, Kubernetes), and experience implementing MLOps practices using Azure ...

Foundry, or Fabric-based AI services. Understanding of data governance, metadata management, and data quality best practices. Experience with statistical modelling, forecasting, or machine learning techniques. Relevant Microsoft certifications (Power BI, Fabric, or Data Analyst Associate). Work in a way that works for you: We promote … time to support the charities and causes that matter to you Access to employee resource groups with dedicated time to volunteer Access to extensive learning and development resources Access to employee discounts scheme via Perks at Work About the Business : RELX is a global provider of information-based analytics ...

domains. Strong SQL skills and experience working with large, complex data sets. Proficiency in SQL and Python or R, with hands-on experience in machine learning, predictive modeling, and statistical analysis. Proven experience working directly with product analytics platforms like Mixpanel, Amplitude, or similar tools. Experience with data ...

insights. What We’re Looking For Proven experience leading or managing a data science or analytics team. Strong technical foundation in SQL, Python, and machine learning principles. Excellent communication and stakeholder management skills – comfortable operating with senior leadership. Experience in a product-led, digital or marketplace environment ...

digital product environment. In this role, you’ll sit at the intersection of data, product, and experimentation — partnering closely with Product Managers, Engineers, and Machine Learning teams to deliver insights that shape product direction, user experience, and commercial outcomes. This is a hands-on, high-impact role suited ...

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 ...

Apache Camel 17. Postgresql Good to Have: 1. OBIEE Knowledge 2. TOGAF Certified 3. Splunk 4. Hadoop/EMR/Apache Spark Experience 5. Machine learning and Analytics Profile Summery: 1. The Software Architect should be responsible for making intuitive high-level decisions for software development. 2. Ability ...

growth, community-driven marketplace is looking for Product Data Scientists to join a central insights function. The team partners closely with Product, Engineering and ML to shape product strategy, deliver experimentation, and guide commercial outcomes. This is an opportunity to take ownership of a core product area, drive data ...

response accuracy • Partner with product and engineering on chat flows and continuous improvement • Contribute to AI platform architecture and best practices • Mentor junior ML/AI engineers (no formal line management) Key details • Salary: £80,000 base + 10% bonus • Pension: 5% matched • Working model: Hybrid, 3 days per week ...

regulated technology landscapes and security frameworks. Familiarity with DevSecOps and compliance-driven delivery in cloud-native contexts. Interest or experience in AI/ML application in digital financial services. ...