126 to 150 of 188 Machine Learning Jobs in Central London

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 ...

across the full pipeline from source systems to target repositories, with a strong focus on data quality Collaborating with Data Scientists to help productionise ML pipelines Operating within an Agile/DevOps environment What we're looking for: Strong SQL and Python skills Solid understanding of Lakehouse architecture and data ...

production-grade conversational and generative AI products at scale. The role This is a platform and infrastructure engineering role - not a data science or ML engineering position. You'll own the runtime, infrastructure, and operational layers that RAG pipelines, LLM orchestration, vector search, and evaluation workflows run on, across ...

load Cloud or serverless deployment experience (AWS, GCP, Azure, or Vercel/similar) Database schema design and query performance optimisation Familiarity with AI/ML tooling or LLM integrations in production systems SaaS, CRM, or enterprise platform experience Agile or Scrum certification (though practical experience is more important ...

load Cloud or serverless deployment experience (AWS, GCP, Azure, or Vercel/similar) Database schema design and query performance optimisation Familiarity with AI/ML tooling or LLM integrations in production systems SaaS, CRM, or enterprise platform experience Agile or Scrum certification (though practical experience is more important ...

expertise and relationships You’ll work with organisations across: High-growth AI startups and scaleups FinTech and data-led businesses Global enterprises investing in ML, cloud and automation Typical roles covered: Data Engineering (Python ecosystems) Machine Learning & AI Cloud platforms (AWS, Azure, GCP) Who thrives in this role ...

expertise and relationships You’ll work with organisations across: High-growth AI startups and scaleups FinTech and data-led businesses Global enterprises investing in ML, cloud and automation Typical roles covered: Data Engineering (Python ecosystems) Machine Learning & AI Cloud platforms (AWS, Azure, GCP) Who thrives in this role ...

want to define the engineering standards behind one of the UK's most ambitious synthetic data platforms? Have you ever built ML infrastructure that enabled researchers and engineers to ship production AI at scale? Are you ready to lead a growing engineering team shaping the future of synthetic data … Build scalable GCP, Kubernetes, and Vertex AI infrastructure • Establish engineering standards, SDLC processes, and delivery practices • Partner with researchers to productionise advanced AI and ML systems • Drive platform security, governance, compliance, and reliability initiatives • Optimise cloud infrastructure and GPU utilisation for GenAI workloads Key Details • Salary ...

Candidate Key attributes of a suitable Data Scientist or Senior 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 ...

Candidate Key attributes of a suitable Data Scientist or Senior 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 ...

with LLMs, Generative AI, NLP, or AI-powered digital products. Expert understanding of conversational design frameworks, prompt design, and dialogue management. Experience working alongside Machine Learning, Data Science, or AI Engineering teams. Strong analytical mindset with experience using data and experimentation to drive decisions. Knowledge of AI governance ...

with LLMs, Generative AI, NLP, or AI-powered digital products. Expert understanding of conversational design frameworks, prompt design, and dialogue management. Experience working alongside Machine Learning, Data Science, or AI Engineering teams. Strong analytical mindset with experience using data and experimentation to drive decisions. Knowledge of AI governance ...

data collection and research at their institutions. Run technical quality checks on incoming data, and pre- and post-processing of datasets prepared for the machine learning teams. Manage data platforms for HIPAA-compliant data collection and processing. About you We are looking for somebody who is excited ...

Practice Technology Offering is broad, covering a wide array of Advisory and Data Services: Comprehensive eDiscovery services, including data processing, AI/GenAI/machine learning, managed review, productions, and support through arbitration and trial. Full-spectrum eDiscovery advisory, covering budgeting, vendor management, data transfer protocols, project oversight ...

management and communication skills Thrives in a fast-paced, dynamic environment Nice to have: Experience building 0–1 products Exposure to data, AI/ML or API-based products Background in financial data or analytics If you’re looking to work on innovative, data-led products where you can make ...

management and communication skills Thrives in a fast-paced, dynamic environment Nice to have: Experience building 0–1 products Exposure to data, AI/ML or API-based products Background in financial data or analytics If you’re looking to work on innovative, data-led products where you can make ...

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 ...

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 ...

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 ...

stakeholders or clients - 7+ years of experience in solutions architecture, software engineering, or technical consulting in customer-facing roles - Demonstrated experience with AI/ML concepts including large language models (LLMs), prompt engineering, retrieval-augmented generation (RAG), and model evaluation - Contact center domain expertise including understanding of IVR/ ...

Analytics firm, recognized with multiple industry awards for innovation and excellence. Our team comprises experts with deep domain knowledge in risk, analytics, AI/ML, AML/FCC, and fraud. By converging this expertise with cutting-edge technologies like AI, Machine Learning, Generative AI, and Large Language Models ...

Data Engineer for a 12-month contract. In this role, you will help design and optimize high-throughput data frameworks that feed advanced machine learning models and drive high-performance user applications. This role offers a unique chance to work across a modern, full-stack cloud data environment … BigQuery/Snowflake Orchestration: Airflow Backend: Python, SQL, Shell Languages: Scala/Java DevOps: Terraform, Docker, Kubernetes Observability: Monte Carlo BI: Looker AI/ML: MLOps London | 12 Months Contract |£400 a day Inside IR35 If you want to work in an organisation where engineering quality is deeply respected, this ...

Strong experience in backend software engineering and systems integration. Hands-on expertise with Microsoft Azure and cloud-based application deployment. Experience integrating AI, machine learning or data-driven services into production environments. Strong knowledge of APIs, microservices and application architecture. Proficiency with Python and SQL. Experience with production … wellbeing benefits. Financial wellbeing tools and support. Electric car scheme. Access to a virtual GP. Access to a large suite of on-demand learning and development courses. This is an excellent opportunity for an engineer who wants to move beyond AI prototypes and build real, production-grade AI agents ...

Strong experience in backend software engineering and systems integration. Hands-on expertise with Microsoft Azure and cloud-based application deployment. Experience integrating AI, machine learning or data-driven services into production environments. Strong knowledge of APIs, microservices and application architecture. Proficiency with Python and SQL. Experience with production … wellbeing benefits. Financial wellbeing tools and support. Electric car scheme. Access to a virtual GP. Access to a large suite of on-demand learning and development courses. This is an excellent opportunity for an engineer who wants to move beyond AI prototypes and build real, production-grade AI agents ...

highly desirable) Exposure to AI enabled transformation or digital product delivery Strong senior stakeholder management Technology Exposure (Desirable) Generative AI and Agentic AI workflows Machine Learning concepts Azure ecosystem Agile delivery (e.g., Jira) Location: London (hybrid) Rate: £600-700 per day Outside IR35 Duration: 6 month initial Start ...