76 to 100 of 184 Machine Learning Jobs in the City of London

Working in highly collaborative, cleared squads alongside Software Engineers and Data Scientists, you will: Automate AI Workflows: Design and deploy infrastructure for AI and Machine Learning solutions tailored for secure, restricted client environments. Scale AWS Environments: Leverage Terraform, Kubernetes, and GitOps to manage complex, highly-restricted infrastructures. Drive ...

WILL BRING TO THE TEAM MUST HAVE SKILLS Strong Python engineering skills, writing clean, modular, and production-ready code. Data science experience, applying machine learning and statistical models for Marketing Mix Modelling (MMM) and Econometrics. Excellent communication skills, able to explain complex concepts to both technical ...

migrations, including CDC approaches Strong Python and SQL skills Understanding of data platforms (e.g. Snowflake/CDP) and ingestion pipelines Exposure to AI/ML enablement frameworks (.e.g AWS SageMaker) and supporting infrastructure for model training, deployment Familiarity with modern development and deployment frameworks Experience with dbt/ELT patterns ...

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 ...

both strategic and hands-on levels. Desirable: Previous VP Engineering experience. Experience in a scale-up or high-growth environment. Knowledge of AI/ML integration in product development. Familiarity with SOC 2, ISO 27001, and GDPR compliance. Background in SaaS, fintech, or enterprise software. Experience customising Trading Systems (e.g. ...

Purview, Entra ID, DLP, or Insider Risk tools Understanding of ISO 27001, Agile ways of working Knowledge of statistics, data science, or AI/ML applied to cybersecurity Relevant certifications (MS-500, AZ-500, SC-series, Security+, GSOC, CCSK) Perks & Benefits Hybrid/remote working options Flexible benefits package Opportunity ...

environment across global teams Nice to Have Degree in Computer Science or a related discipline from a Tier 1 academic group Experience with production machine learning or LLM-based systems Exposure to enterprise data platforms or similar tools Frontend development experience (e.g., React) Familiarity with distributed computing frameworks ...

across Europe (EMEA exposure essential) Ability to engage both technical and business stakeholders Excellent presentation and communication skills Highly Desirable: Exposure to AI/ML/data-driven platforms in financial services Knowledge of cloud architectures (AWS, Azure, GCP) Experience with modernisation/core transformation programmes Fluency in an additional ...

package for the right candidate. Essential requirements: Strong academic background — a rigorous foundation matters here At least 2 years working with AI or ML systems in production and 3–5 years of substantive software/platform engineering Deep JavaScript/Node.js skills Azure Fluency JSON data structures, REST API design ...

derivatives pricing across Front Office, Model validation or Risk functions within financial services Solid background in stochastic calculus and data science including AI/ML techniques Experience with flow and exotic products in one or more asset classes Strong programming skills (e.g. C++, Rust, Python) and familiarity with software development ...

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 ...

maintain legacy. Reports to the Operations Director with fractional CTO advisory support. Clear progression as the platform matures into data migration, AI/ML automation and client-facing services. Remote-first, UK-based. Occasional travel to London HQ and acquisition sites. Judged on delivery. ...

want to build ML models that directly drive real customer and lending decisions? Have you worked on customer prediction problems like pricing, forecasting, or segmentation? Are you ready to join a fast-paced fintech where Data Science sits at the core of the business? We’re hiring a Data Scientist … applied machine learning, owning models end to end and working closely with Product and business stakeholders. Key Responsibilities Build and deploy production ML models used in live decision-making Work on customer prediction problems including pricing, forecasting, and segmentation Develop models using Python and SQL on large-scale ...

cloud-native solutions Working closely with senior stakeholders across government and defence Driving engineering governance, assurance, and compliance Supporting integration of AI/ML and data-driven platforms in secure environments Senior Systems Engineer – Key Skills Required Must hold live and active Enhanced DV clearance (DV considered) Strong background … Defence standards, ISO frameworks, and governance Experience engaging with senior stakeholders (MOD, DE&S, government bodies) Nice to have: Experience with AI/Machine Learning systems Exposure to Big Data platforms and analytics environments Experience working across hybrid cloud architectures Background in Scaled Agile (SAFe) or hybrid delivery ...

deploying AI responsibly at scale Required Skills 10–15+ years in software/data engineering or related technical roles 5+ years in AI/ML, with recent GenAI/LLM exposure Proven track record designing and implementing AI solutions in enterprise settings Strong knowledge of LLMs, APIs (OpenAI, Azure OpenAI ...

Article 15. Technical Requirements AWS Bedrock Expert: Hands-on experience with Bedrock Agents, Knowledge Bases, and model lifecycle management. AI/ML Depth: Strong grasp of FMs, RAG, tool-use, and the failure modes of agentic workflows. Security & Compliance: Deep knowledge of NIST AI RMF, OWASP ...

feel like a typical year) Background requred: – Degree in a relevant discipline (Maths, Engineering, Computer Science, etc.) – ~4+ years in AI/ML engineering, or strong software engineering with AI exposure – Experience taking LLM or agent-based systems into production – Strong understanding of system design: orchestration, memory, deployment, monitoring – Exposure ...

reliability Partner closely with commercial teams on business critical problems Influence technical direction as the platform evolves Get exposure to AI initiatives with learning and development support About the Candidate The right Senior Data Engineer should have: Strong experience with SQL, Postgres, and Python Background working with pricing … business and explaining technical decisions Either experienced leading technically, or showing clear potential to step into leadership Curious, driven, and keen to keep learning — particularly around AI and emerging tech Nice to Have Experience coaching or mentoring junior engineers and sharing knowledge Exposure to commodities, pricing, or financial market ...

sharpness in problem solving. Evidence of personal agency in driving toward net optimal outcomes. Strong machine learning priors, ideally with experience training ML models for production use-cases. Ability to hold large, complex systems in working memory and reason clearly about mechanics and failure-modes. Attention to detail. ...

business transformation. This includes: Core Google Cloud Platform (GCP) Solutions Google Cloud Platform (GCP) – compute, networking, serverless, containers Vertex AI, GenAI, AI/ML Platforms – advanced AI solutions and managed services BigQuery & Data Analytics – data warehouses, analytics pipelines Anthos, Kubernetes & Cloud Infrastructure modernisation Security, governance, and compliance tooling Integration with … Google Workspace and collaboration platforms Searce Services You’ll Represent Cloud modernisation & migration consulting Data & analytics implementation Applied AI & machine learning solutions Full-stack engineering and product delivery Future of work transformation using collaboration platforms Managed cloud services & ongoing optimisation You will engage CxOs and enterprise stakeholders ...

publications role. It is a role for someone who wants to do serious science and see it matter. WHAT YOU BRING PhD in Machine Learning from a leading research institution 7+ years leading applied AI research teams in a commercial environment with access to large-scale, unique data … Deep expertise in at least two of: LLMs and foundation models (pretraining, fine-tuning, distillation), physics-informed neural networks, or reinforcement learning Experience with agent frameworks, tool-use planning and workflow orchestration Systems-level fluency across data pipelines, training infrastructure and inference (PyTorch, JAX, TensorFlow) Strong MLOps discipline ...

primary-sourced databases, a wealth of key survey and forecast data from our industry partners, and a robust offering of archive databases that drive machine learning for big data applications. We continuously display up-to-the-minute data from over 2500 government and private sources via integration with … economists, data scientist, strategists and risk managers within the corporate marketplace and public sector. This is an exciting opportunity for anyone interested in learning the business of professional big data analytics, risk management and economic research. The Account Representative position is full time and will be based ...

/or Python Background in financial services, fintech, or capital markets Experience building distributed systems or high-performance platforms Exposure to AI/machine learning applications (production or applied) Solid understanding of APIs, cloud infrastructure, and system design Bonus: experience with trading systems, digital assets, or blockchain Tech ...

United Kingdom (Hybrid) NO Spomsorship offered Experience : 10–15+ years in software/data/AI engineering with 4–6+ years in AI/ML/GenAI architecture Background : Strong experience in designing enterprise-scale platforms and distributed systems Domain (good to have) : Insurance/reinsurance/financial services Profile ...

free therapy sessions, discounts, social clubs, and more) What you’ll be doing: Depending on project, you’ll work across:Data AnalyticsBusiness IntelligenceData EngineeringAI & Machine Learning. You’ll help businesses: Analyse large datasetsBuild dashboards and reportsAutomate processesCreate insight that drives decisions Tech you’ll be exposed to includes: Python ...