401 to 425 of 488 Machine Learning Jobs in Central London

grade” really looks like - reliability, observability, safety, evaluation, failure handling During non-training weeks, working as a senior IC on internal AI engineering/ML projects 🎯 What They’re Looking For A senior AI/ML engineer with real deployments, excellent communication skills and a passion for teaching. Required experience ...

Expertise: Proven experience in client-facing analytics leadership roles (preferably in healthcare or public sector). Strong knowledge of data platforms (Azure), AI/ML frameworks, and visualization tools. Expertise in stakeholder management, solution architecture, and project governance. Understanding of Responsible AI, data ethics, and regulatory compliance. Excellent communication, presentation … into actionable analytics strategies. Drive account growth through consultative selling and solutioning. Analytics & Technical Leadership: Oversee design and delivery of advanced analytics, AI/ML models, and data-driven solutions. Guide technical teams on architecture, data engineering, and model development best practices. Ensure compliance with data privacy, security, and regulatory ...

product development, accelerate productivity, reduce time-to-market, and prepare for the future. At Akkodis, you’ll join a dynamic environment that values continuous learning and global collaboration, where you can make a meaningful impact through innovative projects that shape the future of technology. Role Overview: Experienced Technical Architect … caching, high-speed data access) Elasticsearch (search and indexing strategies) Other modern data technologies for fast storage and retrieval. Strong knowledge of AI/ML integration within enterprise architectures. Expertise in data modelling, distributed systems, and microservices architecture. Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes ...

lead the transition from "zero-shot" implementations to data-driven optimization. You will instrument data collection, design online evaluation metrics, and deploy simple, effective ML models (e.g., logistic regression, boosted trees) to optimize user outcomes based on real feedback. Be a "Full Stack" Partner: While the backend/data … applications using Foundation Models/LLMs. You understand context window management, prompting strategies, and how to chain models together to achieve reliable results. True ML Fundamentals: You aren't limited to APIs. You have a background in training and evaluating models (TensorFlow/PyTorch/Keras/Scikit-learn ...

initiatives that power discoverability, recommendations, and pricing across multiple marketplaces. As Senior Product Manager you’ll sit at the intersection of product, ML, and data engineering, leading important AI/ML initiatives while shaping team processes, infrastructure, and long-term product strategy. This is a chance to scale existing …/ML capabilities, productionize proofs-of-concept, and influence strategic initiatives at board level. Why this role is special: 🚀 Lead the first Data Enablement team, scaling AI/ML products with significant business impact 📊 Full ownership of capabilities that drive discoverability, recommendations & pricing decisions 🧠 Collaborate across ML engineers, data engineers ...

Senior Full Stack Python Developer – London (On‐site) Python, AWS, React, Docker, Terraform Join a fast growing startup redefining the future of education with ML‐powered learning who are on a mission to make high‐quality, personalised education accessible to everyone. Their flagship product is a mobile app helping … Design and build a high‐scale system serving millions of users • Create robust CI/CD pipelines to support rapid iteration • Collaborate with ML engineers to develop data pipelines and deploy models • Analyse large datasets and build real‐time recommendation systems • Work with diverse data types — text, video, images • Partner ...

Senior Data Engineer - ML and AI Platform Engineering Location: London - Hybrid - Monday to Wednesday in office Salary: £70,000 to £80,000 Dependent on Experience Ref: J13026 We are working with an AI first SaaS business that transforms messy first party data into trusted, decision ready insight. They are scaling … building an engineering team where you will be heard, supported, and given real space to grow. If you enjoy building production grade data and ML pipelines, and want a culture that genuinely backs your development, this is worth exploring. What you’ll be doing Building, shipping, and owning cloud-native ...

/ML Engineer – Outside IR35 – Hybrid (2–3 days in Marble Arch) – 6 Months One of our private equity clients in the UK are searching for a hands-on AI/ML Engineer to help bridge deep technical capability with business-facing problem solving. They are exploring new ways … messy business problems into concrete AI pipelines and prototypes that will inform major strategic decisions. You Will: Act as a hands-on AI/ML engineer embedded directly in the business problem space Take ambiguous business challenges and refine them into real, provable AI use-cases Prototype solutions quickly, demo ...

business. The Role This is an exciting opportunity for a commercially minded Data Scientist to take ownership of end-to-end modelling and ML pipeline development within a fast-paced, consumer-focused organisation. You’ll lead impactful work across the full lifecycle — from exploration and predictive modelling to deployment … teams to deliver scalable, high-value solutions. Key attributes of the suitable Data Scientist include: Strong technical foundation in Python, SQL, and cloud-based ML workflows, with experience building and deploying end-to-end predictive models. Exposure to MLOps or ML engineering practices , including pipelines, CI/CD, model monitoring ...

Siena Partnership are working with a leading financial services organisation is seeking a Senior Full Stack AI/ML Engineer for an initial 6-month contract . This role focuses on taking AI models built by a third-party provider and turning them into robust, production-grade systems , while helping … establish a long-term internal AI/ML engineering capability. What you’ll do Deploy and operationalise AI/ML models into live production environments Build observability, monitoring, and continuous evaluation to manage model performance and drift Design and implement CI/CD pipelines for scalable, reproducible model delivery Optimise ...

engagement Design and oversee GenAI and Agentic AI solutions , including multi-agent systems, orchestration, and evaluation frameworks Guide the use of LLMs, ML models, and scenario-modelling techniques to support pricing and decision-making use cases Define cloud-native AI architectures on GCP and/or Azure , ensuring scalability, security … data governance, and ethical AI standards Support integration with existing enterprise platforms, workflows, and automated processes Required Experience 6–8+ years’ experience in AI, ML, or advanced analytics , with recent focus on Generative AI and Agentic AI Proven experience designing and delivering enterprise-scale AI architectures Strong hands-on experience ...

huge + Experience of completing projects to deadline. Experience in Deep Learning and DL frameworks such as Tensorflow/Pytroch Deploying ML models Good command of Python and use of libraries for data science – scikit-learn, NumPy, matplotlib Relation database experience with data manipulation skills in SQL and large ...

huge + Experience of completing projects to deadline. Experience in Deep Learning and DL frameworks such as Tensorflow/Pytroch Deploying ML models Good command of Python and use of libraries for data science – scikit-learn, NumPy, matplotlib Relation database experience with data manipulation skills in SQL and large ...

Expertise •Proven experience in client-facing analytics leadership roles (preferably in healthcare or public sector). •Strong knowledge of data platforms (Azure), AI/ML frameworks, and visualization tools. •Expertise in stakeholder management, solution architecture, and project governance. •Understanding of Responsible AI, data ethics, and regulatory compliance. •Excellent communication, presentation … into actionable analytics strategies. •Drive account growth through consultative selling and solutioning. Analytics & Technical Leadership: •Oversee design and delivery of advanced analytics, AI/ML models, and data-driven solutions. •Guide technical teams on architecture, data engineering, and model development best practices. •Ensure compliance with data privacy, security, and regulatory ...

house senior talent. The people running client growth here are the people who used to hire agencies, not career account handlers learning on your budget. Our clients reflect who we are: early innovators, fast-growing startups, and household names pushing into their next phase of growth. Each brings … Stack We believe in using the best tools for the job. You will be taking ownership of a stack built on: Ingestion: Weld Warehousing & ML: BigQuery and Vertex AI Transformation: dbt Orchestration: Airflow BI: Looker Studio What This Role Involves This is a Full Stack Analytics Engineering role. You will ...

want to design and lead AI strategy across a PE portfolio? Have you built and delivered AI/ML systems that directly impacted business outcomes? Are you ready to work with board-level leaders to define how AI transforms financial services? A specialist private equity firm is hiring a Principal … portfolio companies and internal teams Lead technical diligence on AI-readiness and opportunities during deal evaluation Build and deploy reusable LLM/AI/ML systems (agents, copilots, etc.) to unlock value Define governance frameworks across risk, explainability, audit, and compliance Own internal AI transformation—deploying tools, platforms, and training ...

from replatforming to impactful delivery — tightening delivery loops, raising engineering quality, and building platform leverage. You’ll lead teams deploying generative agents, ML-powered decisioning, and predictive pricing engines in production — at scale. The platform ingests 100M+ data points/month and is built for extensibility across products and geos. … velocity become Liberis’ product advantage Tech stack Distributed microservices, API-first .NET/Python backend, Next.js frontend GCP + Azure across infrastructure and ML MLOps + AI tooling: Gemini, Claude, Co-pilot, Cursor, Langchain You You’ve scaled high-growth B2B or fintech platforms. You know what great engineering orgs ...

small London startup with the ambition to change education with ML-powered tutoring. Our flagship product is a mobile application for teaching English to intermediate and advanced learners. We’re on the verge of solving one of the biggest challenges in education – making high-quality, personalised learning accessible … system for millions of users. Build convenient CI/CD processes and testing pipelines to support quick iterative development and system stability. Work on ML model development with our team to build robust data pipelines and deploy ML models. Analyse large corpora of data and build real-time recommendation systems. ...

technology. What We’re Looking For • Strong hands-on Python development experience (for example FastAPI, data pipelines, automation, integrations). • Experience with AI/ML workflows, NLP, or LLM-driven solutions. • Strong communication skills and confidence working directly with both technical and non-technical customer stakeholders. • Ability to own problems ...

ML Platform Engineering Manager – AI Infrastructure 📍 Central London (3 days on-site) | 🕒 Full-time We’re an AI-first tech company based in Central London, creating tools that help people and brands make amazing visual content. Our apps are powered by cutting-edge AI, and we’re growing fast. … looking for an ML Platform Engineering Manager to lead the team that builds the systems running our AI models. If you enjoy solving big technical problems and want to help bring AI research to millions of users, we’d love to hear from you. What You’ll Do Lead ...

Senior Data Scientist Paying up to £85,000 + bonus Hybrid in London AI/ML-Driven PropTech I am currently working with start/scale up within the PropTech sector looking to hire a Data Scientist to work on high-impact predictive modelling projects in a fast-growing company. … This role offers the opportunity to work end-to-end on ML models, helping to revolutionise the property industry by leveraging data-driven insights. As a Data Scientist, you’ll be building and optimising predictive models to understand trends in the property market, such as likelihood of sale and customer ...

days) - £70,000-£80,000 + meaningful equity Company Our client is a London-based, well-funded startup specialising in analytics and predictive ML models . They help mobile apps optimise ad spend by analysing behavioural data and delivering predictive signals for high-value conversions. As the first data engineer … data pipelines and infrastructure, including: Build production ETL pipelines processing millions of mobile analytics events from MMPs like AppsFlyer and Adjust Engineer features for ML models, including temporal patterns, user behaviour sequences, and campaign attribution Ensure data quality via validation, deduplication, schema checks, and defensive programming Optimise pandas/Polars ...

data, AI, cloud, and digital solutions. They are committed to providing a platform for talented technologists to accelerate their careers through diverse projects, continuous learning, and robust support from senior consultants. If you are driven by curiosity and a desire to make a real impact, this is an excellent … building end-to-end data pipelines for ingestion, transformation, and loading, setting up efficient data lakes and warehouses, and collaborating closely with analysts, ML engineers, and platform teams. The ideal candidate enjoys solving complex problems, thinking critically, and is eager to experiment with the latest tools and ideas. The role ...

secure coding standards. Collaborate with the Head of AI and Technology to align development priorities with business objectives. Foster a culture of collaboration, continuous learning, and high performance within the team. Troubleshoot and resolve complex technical issues, ensuring platform reliability and uptime. Required Skills & Qualifications: 8+ years of commercial … design. Hands-on experience with AWS platform. Excellent communication skills, capable of motivating and aligning technical teams. Experience with AI tools, APIs, or ML pipelines is highly desirable. Bonus: Exposure to startup environments. Benefits: Hybrid working model (minimum 3 days a week in office) 25 days annual leave plus bank ...

breakthrough modelling into robust, production-grade systems. Oversee the integrity and governance of models trusted by highly regulated, global clients. Drive innovation through advanced ML, GenAI, and statistical techniques, amplifying physics-based models with modern intelligence. You: A strategic and technical leader who thrives where complexity meets velocity. … 20+) within a fast-paced environment, and know how to channel deep science into commercial success. You’ll likely bring: Experience in applied ML/AI, predictive analytics, or statistical/numerical modelling. A background in turning research outputs into scalable product capability. Outstanding communication skills - translating technical depth into ...