276 to 300 of 575 Machine Learning Jobs in Central London

forecast customer activities and trends. Collaborate with cross-functional teams to implement data-driven strategies. Define and track key performance indicators (KPIs). Utilize machine learning techniques to optimize CRM strategies, especially related to automated campaign optimization. Communicate findings and recommendations to stakeholders in a clear and concise More ❯

delivery. Required Skills and Experience: Strong Python skills, with proven experience in developing robust, scalable applications Strong FastAPI experience Strong background in AI or machine learning implementation – must have commercial experience in LLMs Ability to work in cross-functional teams within agile environments. Excellent problem-solving and communication More ❯

forecast customer activities and trends. Collaborate with cross-functional teams to implement data-driven strategies. Define and track key performance indicators (KPIs). Utilize machine learning techniques to optimize CRM strategies, especially related to automated campaign optimization. Communicate findings and recommendations to stakeholders in a clear and concise More ❯

or fintech environment Strong background in credit risk and fraud strategy Experience with responsible lending regulations Proficiency in Python, SQL, and modern statistical/machine learning methods Experience building and deploying decisioning frameworks Comfortable working across multiple analytical domains and teams THE BENEFITS £120,000+ base salary Equity More ❯

UK. In this role, you’ll drive the evolution and implementation of data products, ensuring high-quality, accessible, and trusted data that fuels analytics, machine learning, and personalised experiences. You will work cross-functionally to create data products that empower teams across the business, from marketing to operations More ❯

is simple. Digitally disrupt and revolutionise a 335-year-old market. Working with Google and UCL, Ki has created a platform that uses algorithms, machine learning and large language models to give insurance brokers quotes in seconds, rather than days. Ki is proudly the biggest global algorithmic insurance More ❯

on solving complex challenges through collaboration, best-in-class tooling, and modern cloud-native architecture. The team is actively driving forward initiatives such as machine learning for post-catastrophe property damage identification, API-based digital trading platforms, and modernised underwriting solutions—all underpinned by a robust Azure cloud More ❯

model validation and evaluation Implementation of climate change solutions Strong communication skills across speaking, listening, and writing Proficiency in Microsoft Office suite; programming/machine learning experience a plus Experience with Tableau or Power BI Coding skills in Python, SQL, R (GIS programming a bonus) Strong analytical, problem More ❯

Databases: PostgreSQL, MongoDB Cloud: AWS (heavy use), with IaC (Terraform) Practices: TDD, CI/CD, clean architecture, pragmatic testing Bonus Points: Data engineering or machine learning experience 👀 What They’re Looking For A Principal Engineer, Tech Lead, or Software Architect with at least 2 years at this level More ❯

in tech consulting, software engineering, or IT strategy Strong experience with GenAI tools (e.g., AWS Bedrock, Vertex AI, Langchain) Deep understanding of AI/ML, prompt engineering, and modern architectures Excellent communication, problem-solving, and stakeholder management skills STEM or business degree with strong academic performance ? Expect global exposure, a More ❯

Deliver Measurable Impact: Define success metrics and ensure business value is realized at every stage. Key Skills and Experience: Proven experience architecting AI/ML or GenAI solutions in complex, enterprise environments. Hands-on expertise with LLMs, NLP, MLOps, RAG pipelines, APIs, and real-time data systems. Strong track record More ❯

Ensure compliance with data privacy standards (GDPR, NHS DSPT) Who You Are 5+ years of backend experience (ideally with Python ) Proven track record delivering ML, search, or recommender systems at scale Deep knowledge of embeddings , LLM-based retrieval , and vector similarity search Hands-on with GCP (or AWS/Azure More ❯

within FMCG or related sectors. Strong command of Python and pandas; working knowledge of R is also a plus. Proficient in statistical modelling and ML techniques, including regression, Bayesian inference, and probabilistic programming. Experience with PyMC, MCMC methods, and scenario-based optimization. Strong SQL (or Spark) skills for large-scale More ❯

tools, SDKs, or APIs. Strong communication skills — capable of bridging the gap between engineering, product, and enterprise stakeholders. Bonus: experience working with AI/ML tooling (e.g. Hugging Face, OpenAI, LLMs, vector databases, etc.) Bonus: background in consulting, technical pre-sales, or solutions architecture. 🌍 Why Join Us? Help define the More ❯

on their adoption. CANDIDATE PROFILE//Candidates for this position must have: In depth knowledge of current AI trends including Generative AI, NLP, ML, and legal-specific AI applications (e.g. document automation, legal research, contract analysis). Experience with data science, data and solution architecture, machine learning More ❯

AI solutions across multiple client engagements. Act as a trusted advisor to C-level stakeholders, providing strategic direction on emerging technologies such as IoT, machine learning, event-driven architectures, and cognitive services. Design scalable, resilient systems using modern cloud platforms (AWS, Azure, or GCP), leveraging IaaS, PaaS, and … teams, ensuring architectural coherence and successful delivery. Guide other architects and engineers in their professional growth, managing capability development and fostering a culture of learning and inclusion. Champion best practices in cloud data platforms, data integration (e.g., messaging, queuing, CDC), and non-functional design principles. Collaborate closely with clients … data and AI space. Required experience: A broad understanding of modern and emerging data/AI technologies across architecture patterns, data platforms, analytics, and machine learning. Demonstrated experience designing, building, and deploying enterprise-scale, data-intensive applications—preferably across distributed systems. Proven ability to lead architecture for cloud-native More ❯

are engineering this new class of efficacious enzymes to improve patient outcomes worldwide in the fight against antimicrobial resistance. We combine sophisticated and proprietary ML-based protein discovery and engineering platforms with high throughput screening capabilities, positioning us as a world leader in enzyme design. Description of Your Role We … s established functionality to discover candidate libraries for testing/development by the wider team, and re-integrate experimental data into Zeus to facilitate ML-based protein engineering strategies. What You’ll Do in This Role This role involves use and continued development of our cutting-edge proprietary candidate discovery … structure, predicted stability, and other proprietary metrics of lead candidate suitability presented from the Zeus platform. - You will generate derivatives of these candidates using ML-guided proprietary computational tools previously developed and implemented on the Zeus platform. - You will lead integration of experimental data into Zeus to optimise candidate selection More ❯

Manager to lead our clients research group. You will guide groundbreaking research projects in areas such as video and point cloud compression, AI/ML Applications & algorithm optimization for both performance and visual quality. About the company: MicroTECH Global are working with a company who are at the forefront of … rapid cycles of iteration and fast-tracked delivery of Minimum Viable Products. • Technical Expertise: Experience in designing and developing data compression solutions, AI/ML technologies, and/or C++ development. • Leadership Skills: Proven ability to manage and mentor a skilled team, driving projects to completion within commercial deadlines. • Communication More ❯

Social network you want to login/join with: Principal ADMET Scientist - modelling, ML engineer | Cheminformatics | Series A - Drug discovery B2B Platform | Fully Remote, EU | £ 700-1,200 per day, Outside IR35 | 6-12 months Contract Length, london (city of london) col-narrow-left Client: Location: london (city of london … EU work permit required: Yes col-narrow-right Job Views: 3 Posted: 04.06.2025 Expiry Date: 19.07.2025 col-wide Job Description: Principal ADMET Scientist - modelling, ML engineer | Cheminformatics | Series A - Drug discovery B2B Platform | Fully Remote, EU | £ 700-1,200 per day, Outside IR35 | 6-12 months Contract Length The Client … A mission-driven technology company operating in the life sciences domain is seeking a Principal Scientist - hands-on ADMET modelling, ML engineer to lead the technical direction for ADMET (Absorption, Distribution, Metabolism, Excretion, and Toxicity) modeling efforts within its drug discovery platform. The organisation enables collaborative model development across partner More ❯

A fast-growing UK-based data consultancy is looking for an experienced MLOps Manager to help shape and deliver a new AI/ML capability. This is a strategic opportunity to blend technical leadership with hands-on engineering as you build out a function within a dynamic and collaborative environment. … language models (LLMs), ensuring they are secure, scalable, and cost-effective. Key Responsibilities: Design, implement, and manage scalable, secure infrastructure to support AI/ML workloads Act as a trusted technical advisor to clients, identifying challenges and designing bespoke MLOps solutions Develop and maintain robust pipelines for model training, validation … Build and maintain strong client relationships through clear communication and high-quality delivery Required Skills & Experience: Proven experience deploying, managing, and monitoring AI/ML solutions in production environments Hands-on expertise with tools such as MLflow, DVC, Kubeflow, Docker/Kubernetes, and GitOps workflows Familiarity with observability and monitoring More ❯

tutor and assessment platform for all major exams worldwide . The Role We're seeking an exceptional upcoming graduate/post graduate AI/ML Engineer to join our innovative team and help shape the future of personalised education. In this role, you'll work on enhancing our multi-layered … LLM architecture to deliver truly personalised learning journeys for every student. You will also be working to create personalised content for students to optimise their examination performance. Key Responsibilities Develop and optimise strategies for validating high-quality educational content including videos, diagrams, and interactive materials Enhance our proprietary architecture … which combines teaching theory, neuroscience, and AI to create personalised learning experiences Collaborate with our education team to ensure content alignment Improve our language analysis and progress tracking LLMs to better assess student understanding Work closely with the full-stack development team to integrate AI solutions into our platform More ❯

role and a strong academic background Python Data Science Stack: Advanced proficiency in Python , including pandas , NumPy , scikit-learn , and Jupyter Notebooks . Statistical & ML Modelling: Strong foundation in statistical analysis and proven experience applying a range of machine learning techniques to solve business problems (e.g., regression, classification … PyTorch is required. Full-Stack Deployment: Demonstrable experience taking models to production, including building and deploying APIs with FastAPI and using Vertex AI for ML workflows. Visualization & Communication: Ability to create clear visualizations and effectively communicate technical findings to non-technical stakeholders. Highly desirable skills include: Football Analytics Domain: Significant More ❯

infrastructure e.g. web proxies, reverse proxies ▪ Technical knowledge and breadth of Azure technology services (Identity, Networking, Compute, Storage, Web, Mobile, Containers, Databases, Analytics, AI & Machine learning) ▪ Have excellent written, verbal and presentation skills ▪ Demonstrable risk management knowledge ▪ Keen problem solving skills (Analytical and Creative) ▪Tier 1 Banking Experience More ❯

+ 10% Pension + Private Healthcare LONDON - 4 Days in office Lead a growing team of AI Scientists working on high-impact, AI driven machine learning models to drive innovation in the BioTech space - specifically around drug discovery and RNA sequencing ROLE AND RESPONSIBILITIES Working closely within a More ❯

or Google Cloud Platform (GCP). Proven experience working with large-scale systems (1000+ nodes, 10,000+ tasks). Advanced expertise in Ray for machine learning pipelines, hyperparameter tuning, and distributed execution. Strong programming skills in Python and experience with Conda. Proficiency with Docker and Kubernetes for containerisation More ❯