101 to 125 of 309 Machine Learning Jobs in Central London

strongly preferred, whether thats Wealth Management, Banking, Insurance or another regulated financial organisation. Where AI fits You dont need to be an AI or Machine Learning Engineer. The business is increasing its investment in AI, including Azure AI Foundry, and wants its engineers to become increasingly comfortable using ...

Comfortable working in regulated data environments with sensitive personal and litigation data. Excellent stakeholder management and communication skills. Desirable Experience Exposure to predictive analytics, machine learning operationalisation or AI platforms. Experience working with Dynamics CRM, case management platforms such as VisualFiles, and finance systems such as Elite ...

prompting. An understanding of point in time data is a strong plus Also desirable: experience with vector databases (pgvector, Pinecone, Weaviate, Qdrant or similar); machine learning experience (PyTorch, TensorFlow, XGBoost/LightGBM) for building, maintaining and extending existing models; Bloomberg API integration to Python; data science/statistics ...

advanced analytics solutions into production. Strong Financial Services experience across banking, insurance or capital markets. Technical credibility across data engineering, data platforms, ML or Generative AI. Experience leading and developing high-performing technical/consulting teams. Strong consulting and commercial experience, including business development and selling work. Experience engaging senior ...

development SQL, databases & data platforms Data pipelines & ETL/ELT APIs & backend engineering CI/CD & production systems Analytics & modern data platforms AI/ML and emerging AI technologies It's a strong opportunity for someone early in their career who wants to develop into a well-rounded Full Stack ...

operate within our risk appetite. You will collaborate with stakeholders to develop and implement solutions that support our commercial goals, harnessing artificial intelligence and machine learning. Your work will contribute to a culture of integrity, innovation, and excellence. Job Responsibilities: Support and drive adherence to data risk management standards ...

Learning and large language models. Hands on experience across prompt engineering, agent development and evaluation frameworks. Demonstrated proficiency in Python AI/ML frameworks with the ability to write and review production-grade code across the full stack. A proven track record architecting and designing scalable solutions that ...

specific team from the outset, your impact will be felt throughout the business. Expect to: Develop your capability through a blend of structured learning and hands‐on experience Get exposed to real business challenges in real environments Transition from learning to delivery at an unmatched pace Keep … every day Use technology to solve real problems, improve experiences and help the business work better Build your confidence as an engineer while learning how software is designed, developed and delivered at serious scale Support in your corner You’ll get: A learning journey that’s made ...

data,transactional insights & fraud indicators from partnerships Apply traditional model development techniques and approaches (e.g. logistic regression) as well as adopting new AI/ML techniques such as gradient boosting, random forests, clustering, etc. Utilise the latest cloud based technologies and analytical tooling to support test-and-learn champion/… potential impact to our clients (i.e. addressing the "why" behind our decision making) What could set you apart Experience of developing AI/ML based fraud solutions and models Day to day use of G-Suite tooling, GCP and VertexAI Experience of working in a credit reference agency and/ ...

develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning, bold ideas, courage and passion to drive life-changing impact to ZS. Associate Consultant – AI Strategy & Transformation ZS is a global management consulting and technology … ambiguous business challenges using strategic problem-solving frameworks. Conduct market, technology and competitive intelligence research to uncover actionable insights. Partner closely with data scientists, machine learning engineers, software developers and business leaders. Translate business requirements into AI-enabled solutions and ensure alignment between technical and strategic objectives. Build ...

successful data-driven initiatives. Proficiency in SQL for data extraction, manipulation, and analysis. In-depth knowledge of statistical analysis techniques, predictive modelling, and advanced machine learning algorithms. Strong experience with data visualization tools such as Tableau, Power BI, or similar. Experience with data blending, preprocessing, and automation tools … professional and personal success and an environment where you can truly make an impact. Our people are our greatest asset and we believe learning is central to developing talent, nurturing strong leaders, fostering a supportive company culture and ultimately drives our success. About Apex Group We are dedicated ...

translate them into clear business outcomes Desirable experience Experience working within financial services, fintech, banking, lending or property technology Experience delivering AI or machine learning products Knowledge of modern data architecture and cloud‐based data platforms Experience working with APIs, data pipelines or data products Understanding of Agile ...

Services SQL and Data Management Technologies AI and Intelligent Product Ecosystems Business Intelligence and Reporting Platforms API and Integration Platforms Event-Driven Architectures Machine Learning Solutions Intelligent Workflow and Decisioning Platforms Partner with Programme Leads, Product Managers, Architects, Delivery Managers, and Quality Leadership teams. Govern supplier quality performance ...

Experience with BI platforms such as Power BI, Looker, Superset, Preset or Qlik. Experience using Python alongside SQL. An understanding of statistical analysis and machine learning techniques. Experience working with business stakeholders and translating commercial questions into data solutions. The ability to explain technical concepts clearly ...

pressures production incidents Desired Experience with Site Reliability Engineering (SRE) practices, including monitoring, incident response, and post-mortem analysis Proven experience applying AI or machine-learning models to optimise workflows, identify patterns, and drive intelligent automation solutions Hands-on experience with containerization technologies such as Docker and Kubernetes ...

professional experience. Desirable Experience with technologies such as Azure, Databricks, Power BI, or similar enterprise platforms. Exposure to data analytics, business intelligence, AI/ML, cybersecurity, or cloud transformation programmes. Knowledge of microservices, domain-driven design, or cloud-native solutions. Python or other scripting/programming experience. Experience within energy ...

apart Master’s degree or MBA in Product Management, Business Administration, or a technical field. Hands-on experience developing or applying AI/ML models, predictive analytics, or generative AI within decision orchestration tools. Proven experience building, leveraging, or automating workflows using AI tools (such as Google Gemini or Workspace ...

Cloud hosting providers such as AWS, Azure, GCP, Vercel & Netlify Cross‐platform AI experience across AWS, Microsoft Azure, Google (e.g. Bedrock, AgentCore, Vertex, Azure ML etc.) Advanced Python programming AI frameworks such as AutoGen, Langflow, Tensorflow Knowledge of Infrastructure as Code, CI/CD Use of Middleware and RESTful ...

OctaiPipe, a dynamic UK-based AI hardware company, is seeking an Applied Scientist, Machine Learning to join the ACE team … work on reinforcement learning for data centre control. You will design, train, and deploy RL agents across live environments, translating telemetry into ML problems and collaborating with software engineers to productionise models on the OctaiPipe platform. Candidates should have strong RL background, Python and ML tooling, and the ability ...

revolutionary idea. Rather than move the data from the source, move the algorithms to the data to learn at the data source. This learning can be achieved with the intelligence of many devices through novel federated AI technology. OctaiPipe is developing the AI for Cooling Efficiency (ACE) application … Technical Sales. Experience selling software or technology into data centres, particularly DCIM, BMS, power monitoring, cooling optimisation or adjacent infrastructure technologies. Knowledge of AI, machine learning, edge AI or reinforcement learning solutions. Experience working with channel or technology partners to develop and progress joint opportunities. Why JoinOctaiPipe ...

running regular tabletop/purple-team exercises and postmortem improvements. A major focus is driving AI security and internal AI governance: integrating LLMs/ML into SOC triage and anomaly detection, defending AI attack surfaces (agent activity, prompt injection, machine identities), hardening against AI-driven threats (phishing-resistant … similar — used to remove toil, and a track record of expanding coverage without proportional headcount growth. A working understanding of AI and machine learning security: how these systems fail, how they're attacked, and how attackers use them. Demonstrated success working with customers on security reviews, audits, escalations ...

deliver compelling commercial proposals aligned with client needs. Solution Design: Contribute to solution design from both a technological perspective and an algorithmic/machine learning perspective , ensuring feasibility and innovation. AI Value Proposition: Play a key role not only in communicating SDG’s AI value proposition but also … similar technical field. Professional Experience: Minimum 5 years of experience in AI, Data, or related fields. Technical Knowledge: Strong understanding of modern AI/ML technologies and cloud-based solutions. Tools & Platforms: Familiarity with Snowflake, Databricks, Azure AI Foundry , AWS SageMaker, and other leading platforms. Data Science Expertise: Knowledge ...

Defining engineering standards, data models and best practice Driving CI/CD, automation and modern engineering practices Collaborating with AI engineers to productionise machine learning and AI solutions Exploring how AI can enhance engineering productivity, quality and delivery What you'll bring Strong experience with Python … data products solving real business challenges Collaborate with experienced engineers, architects and AI specialists in a supportive environment where ideas are valued and learning is encouraged #J-18808-Ljbffr ...

assess technology recommendations, (including AI-generated) and present findings and pathways to stakeholders A mindset focused on growth and curiosity, with a focus on learning new technologies Exposure to AI and machine learning as well as advanced analytics solution patterns Strong relationship building skills, with the ability ...

maintainability. Helping shape data strategy, engineering standards and best practices around governance and data democratisation. Supporting the adoption of advanced analytics, AI and machine learning capabilities. Developing Infrastructure as Code alongside Cloud Engineering. Ensuring solutions meet data privacy, security and compliance requirements. Working collaboratively within an Agile environment ...