Head of ML | Contract | £750pd | Outside IR35 | Hybrid, 2-days per week | London My client is on the lookout for a Head of Machine Learning to join the team on a contract basis. This client is a consultancy and have had an influx of AI/ML work, without having the headcount to oversee some of the projects. So … Scientists and oversee the delivery of work for their clients. The role has been determined outside IR35 and will run for a minimum of 6-months. Technical Skills Machine Learning & DeepLearning Supervised/unsupervised/reinforcement learning Model selection, training, validation, and evaluation Deeplearning architectures (CNNs, RNNs, Transformers) Data Science Statistical analysis More ❯
Senior Quant Machine Learning Engineer sought by leading investment bank based in the city of London. **Inside IR35, 4 days a week on site** The role: To lead the design and deployment of ML-driven models across our trading and investment platforms. This is a high-impact, front-office role offering direct collaboration with traders, quant researchers, and technologists … pipelines and scalable model infrastructure for production deployment Mentor junior quants and engineers; contribute to knowledge-sharing and model governance processes Stay current with cutting-edge ML research (e.g., deeplearning, generative models, reinforcement learning) and assess applicability to financial markets Collaborate closely with cross-functional teams, including traders, data engineers, and software developers What We're … hedge fund, or tech firm Advanced degree (PhD or Master's) in Computer Science, Mathematics, Physics, Engineering, or related discipline Strong expertise in modern ML techniques: time-series forecasting, deeplearning, ensemble methods, NLP, or RL Expert-level programming skills in Python and strong understanding of software engineering best practices Experience deploying ML models to production in real More ❯
in Python Strong software engineering skills with a focus on building production-ready systems Experience of deploying & monitoring such systems in a cloud environment. Experience with natural language processing, deeplearning and generative AI. Familiarity with tools for working with Large Language Models via API or in a local context (e.g. HuggingFace transformers). Building AI agents, or … products that rely on AI agents Developing and working with tools and interfaces for AI applications (e.g. Anthropic's Model Context Protocol) Training traditional Machine Learning and DeepLearning models. (Desirable) Hands-on experience with containerisation technologies such as Docker. (Desirable) NB: BPSS & eligible for SC level vetting To apply, please submit latest CV for review More ❯
in Python Strong software engineering skills with a focus on building production-ready systems Experience of deploying & monitoring such systems in a cloud environment. Experience with natural language processing, deeplearning and generative AI. Familiarity with tools for working with Large Language Models via API or in a local context (e.g. HuggingFace transformers). Building AI agents, or … products that rely on AI agents Developing and working with tools and interfaces for AI applications (e.g. Anthropic's Model Context Protocol) Training traditional Machine Learning and DeepLearning models. (Desirable) Hands-on experience with containerisation technologies such as Docker. (Desirable) NB: BPSS & eligible for SC level vetting To apply, please submit latest CV for review More ❯
Have a humble attitude and an eagerness to help others with empathy Passion for building products that augment human capabilities and improves citizens lives. Experience with natural language processing, deeplearning and generative AI. Familiarity with tools for working with Large Language Models via API or in a local context (e.g. HuggingFace transformers). An understanding of deploying … Experience: Building AI agents, or products that rely on AI agents Developing and working with tools and interfaces for AI applications (e.g. Anthropics Model Context Protocol) Training traditional Machine Learning and DeepLearning models Experience delivering applications to production Hands-on experience with containerisation technologies such as Docker. Experience designing software services with respect to infrastructure, considering More ❯
in a cloud environment. Familiarity with tools for working with Large Language Models via API or in a local context (e.g. HuggingFace transformers). Experience with natural language processing, deeplearning and generative AI. Nive to have: Building AI agents, or products that rely on AI agents Developing and working with tools and interfaces for AI applications (e.g. … Anthropic's Model Context Protocol) Training traditional Machine Learning and DeepLearning models Hands-on experience with containerisation technologies such as Docker. Experience designing software services with respect to infrastructure, considering dependencies like databases and message queues, cloud environments, and pre-existing services with which yours must collaborate. Proven ability to collaborate with "non-engineering" disciplines, such More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Sanderson
Machine Learning Engineer £700-750/day overall assignment rate to umbrella Fully remote 6 month initial A FTSE 100 retail client are on the look for a Data Scientist/Machine Learning Engineer to join their data science function to drive cutting-edge ML technology across the business. Machine Learning Engineer, key skills: Significant experience working … as a Data Scientist/Machine Learning Engineer Solid knowledge of SQLandPython's ecosystem for data analysis (Jupyter, Pandas, Scikit Learn, Matplotlib). GCP, VertexAI experience is desirable (developing GCP machine learning services) Timeseries forecasting Solid understanding of computer science fundamentals, including data structures, algorithms, data modelling and software architecture Strong knowledge of Machine Learning algorithms (e.g. … Logistic Regression, Random Forest, XGBoost, etc.) as well as state-of-the-art research area (e.g. NLP, Transfer Learning etc.) and modern DeepLearning algorithms (e.g. BERT, LSTM, etc.) Machine Learning Engineer, timeseries, forecasting, VertexAI, GCP Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we More ❯
experience (including 1-2 years in AI/ML) to design, build, and optimize intelligent solutions. This role offers the opportunity to work on cutting-edge projects, applying machine learning, NLP, and generative AI to real-world business problems. Key Responsibilities Build and refine AI/ML models, including LLM-based solutions (RAG, fine-tuning, prompt engineering). Design … Strong problem-solving and communication skills. Preferred Knowledge of data structures, algorithms, and solution architecture. Familiarity with cloud AI platforms (AWS, Azure, GCP). Understanding of supervised, unsupervised, and deeplearning methods. Refer a friend and earn up to £500! Unfortunately, due to high numbers of applications, we are only able to respond to shortlisted applicants. If you More ❯
Senior Machine Learning Engineer 3 Month Contract Initially with most probable extension Location- London- Working Remotely Are you a Senior ML Engineer with a passion for building large-scale, production-ready systems? We're looking for a talented professional to join a leading global digital entertainment platform. This is a fantastic opportunity to work on a 3-month contract … with a high probability of extension. The Role We need a Senior ML Engineer to help us design, build, and deploy robust machine learning systems that power our platform. You'll be a key part of our team, tackling complex challenges and ensuring our models are scalable and reliable in a production environment. What You'll Bring Production Experience … large-scale ML systems. We're particularly interested in candidates who have experience at large, international companies. Technical Skills : Strong proficiency in languages like Java, Scala, or Python . DeepLearning Frameworks : Hands-on experience with either PyTorch or TensorFlow . Experience : Previous experience working on distributed systems is a plus. This is an urgent vacancy with deadline More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Randstad Technologies
Senior Machine Learning Engineer 3 Month Contract Initially with most probable extension Location- London- Working Remotely Are you a Senior ML Engineer with a passion for building large-scale, production-ready systems? We're looking for a talented professional to join a leading global digital entertainment platform. This is a fantastic opportunity to work on a 3-month contract … with a high probability of extension. The Role We need a Senior ML Engineer to help us design, build, and deploy robust machine learning systems that power our platform. You'll be a key part of our team, tackling complex challenges and ensuring our models are scalable and reliable in a production environment. What You'll Bring Production Experience … large-scale ML systems. We're particularly interested in candidates who have experience at large, international companies. Technical Skills : Strong proficiency in languages like Java, Scala, or Python . DeepLearning Frameworks : Hands-on experience with either PyTorch or TensorFlow . Experience : Previous experience working on distributed systems is a plus. This is an urgent vacancy with deadline More ❯
Cambridge, Cambridgeshire, England, United Kingdom
Opus Recruitment Solutions Ltd
Generation (RAG) , agent orchestration, prompt engineering, and tool calling Knowledge of AI standards like Model Context Protocol (MCP) and Agent2Agent (A2A) Strong grasp of ML algorithms: regression, classification, clustering, deeplearning Awareness of AI ethics and regulations (e.g., NIST AI RMF, EU AI Act) Skilled in using AI tools like GitHub Copilot and prompt engineering for development tasks … platform or cloud-native service development Strong background in Microsoft Azure and PaaS services (e.g., Azure Functions, AKS, API Management) Expertise in RESTful API design, versioning, and lifecycle management Deep understanding of API security, authentication/authorization, and data privacy Excellent problem-solving skills and ability to propose scalable solutions Agile team experience, with strong collaboration across global R More ❯
to ensuring seamless integration with existing digital services. What You'll Need to Succeed Commercial experience with AI/ML technology: OCR, Object Detection and LLM analysis implementation * Machine Learning & AI Libraries including: o Transformers/Hugging Face for working with pre-trained LLMs, fine-tuning, and inference o PyTorch for deeplearning model development and training More ❯
to ensuring seamless integration with existing digital services. What You'll Need to Succeed Commercial experience with AI/ML technology: OCR, Object Detection and LLM analysis implementation * Machine Learning & AI Libraries including: o Transformers/Hugging Face for working with pre-trained LLMs, fine-tuning, and inference o PyTorch for deeplearning model development and training More ❯
North London, London, United Kingdom Hybrid / WFH Options
Lancesoft Ltd
UK Hybrid (3 days onsite) Duration: Until Dec 2025 (ASAP start) Description: We are seeking an experienced Research Assistant to support ongoing work in the artificial intelligence and machine learning domain . The role will focus on building, testing, and improving AI agents, with a strong emphasis on generative AI and large language models (LLMs). You will work … medium-scale Python codebases. Requirements: Essential: Bachelors degree in Computer Science, Engineering, or related field, or equivalent practical experience. 2+ years experience in prototyping, testing, or research within ML, deeplearning, or NLP. Proficiency in Python (intermediate level; ability to navigate multi-file codebases and write clean code). Familiarity with AI agent frameworks such as Model Context More ❯
Senior ML Engineer | £750/day | Remote | 6 Months+ | UK | We're hiring a very senior Machine Learning Engineer to lead model optimization for a cutting-edge AI hardware platform built for high-performance edge inference. Backed by $200M+ in funding, this stealth-mode startup is reimagining how AI runs in real-time; on-device, energy-efficient, and cloud … free. What You'll Do Optimize and deploy deeplearning models on custom accelerators (e.g. Digital In-Memory Computing) Apply advanced techniques: quantization, pruning, compression Work across frameworks (PyTorch, TensorFlow, ONNX, OpenVINO, TVM) Collaborate with hardware, compiler, and embedded teams Benchmark and validate performance in real-world edge scenarios (CV, robotics, industrial AI) What You Bring 7+ years … in ML engineering, with deep expertise in model optimization for edge or custom silicon Strong knowledge of neural networks, hardware-aware inference, and deployment pipelines Hands-on with embedded inference toolchains and performance profiling Python, C++, and a mindset for getting things running fast and efficiently | Senior ML Engineer | £750/day | Remote | 6 Months+ | UK | RSG Plc is More ❯
West London, London, United Kingdom Hybrid / WFH Options
Staffworx Limited
the gap between marketing and technology, supporting the client in assessing, implementing, and optimizing marketing technology solutions to enhance our clients' marketing strategies and operations. This role requires a deep understanding of marketing technology landscapes, strong analytical skills, and the ability to collaborate with cross-functional teams. About the Role - Required skills and experience: 4-5 years in Digital … Marketing Technology: as a consultant, Technical BA or product owner. Deep understanding of MarTech landscape: Comprehensive knowledge of various marketing technology platforms like CRM, DAM, dynamic creative optimization (DCO), GenAI, DeepLearning, CDP, marketing automation tools, email marketing platforms, social media management tools, analytics platforms, etc. Data analysis skills: Proficiency in data manipulation, statistical analysis, and data More ❯
Cambridge, Cambridgeshire, England, United Kingdom
Opus Recruitment Solutions Ltd
GitHub Copilot for development. Ensure responsible AI practices aligned with NIST AI RMF , EU AI Act , and other ethical standards. Mentor junior developers and foster a culture of continuous learning and innovation. Skills & Experience 10+ years in software engineering, with strong experience building cloud-native or platform services using Microsoft and .NET . 4+ years in a Data Scientist … or AI/ML Engineer role. Proficiency in Python , including libraries like pandas , scikit-learn , TensorFlow , and PyTorch . Deep understanding of ML algorithms : regression, classification, clustering, and deep learning. Hands-on experience with Large Language Models (LLMs) and techniques such as Retrieval-Augmented Generation (RAG) , agent orchestration , prompt engineering , and tool calling . Familiarity with AI standards More ❯