26 to 44 of 44 Machine Learning Engineer Jobs in the City of London

Consumer AI | London | ML Engineer A fast-moving insights & analytics startup is searching for an ML Engineer to help build cutting-edge data science solutions powered by digital consumer signals. The team works with massive volumes of digital data, turning it into clear, actionable insights using NLP, LLMs, and advanced marketing data science, helping brands make smarter, faster More ❯

About Ankar Innovation is the key to solving society's greatest challenges, and IP (intellectual property) plays a pivotal role in encouraging, driving, and capitalising on innovation. At Ankar AI, our mission is to empower IP and R&D teams More ❯

Machine Learning Engineer (Founding Team) - LLM Join an early-stage, stealth-mode startup on a mission to redefine the future with cutting-edge ML. Backed by top-tier investors and building something bold from the ground up. We're looking for a self-motivated, exceptional Machine Learning Engineer to work directly with the founders … engineering fundamentals Bias toward action and startup grit This is your chance to make a real impact. If you're ready to build something that matters - get in touch. Machine Learning Engineer (Founding Team) - LLM More ❯

ML Engineer/AI Engineer/Graduate/Junior/London We're looking for an exceptional AI/ML graduate or postgraduate to join our ambitious team and play a key role in building the future of personalised education. You'll be at the core of enhancing our multi-layered LLM architecture and helping students reach their … full potential through AI-powered learning. You will ideally have: A First Class BSc in Machine Learning, Computer Science, or a related field from a Russell Group university At least 2+ years of hands-on experience developing production-grade AI/ML systems A flawless academic record in secondary and higher education Proven experience in prompt engineering for … driven AI projects with real-world impact Competitive salary Fast growth potential Build tech that actually changes lives the opportunity to collaborate with a world class academic team ML Engineer/AI Engineer/Graduate/Junior/London More ❯

An AI-driven start-up, backed by $20M in Series A funding, is looking for its first Machine Learning Engineer to help scale their product and infrastructure. The platform transforms educational content into smart, personalised learning tools - and is already seeing rapid user growth and strong traction in the market. This is a unique opportunity to … features across a production platform Working across Python and TypeScript , integrating models into scalable, real-time systems Fine-tuning and training NLP models using techniques like transformers Driving the machine learning strategy and building best practices from the ground up Collaborating closely with product, engineering, and leadership What we’re looking for: Strong commercial experience building and deploying More ❯

Job Title: Machine Learning Engineer – Computer Vision Focus Overview: We’re looking for a skilled Machine Learning Engineer to join a growing technology company building cutting-edge solutions for real-world automation. You’ll be part of a small, collaborative team applying computer vision to improve performance, efficiency, and user experience across multiple sectors. … This role offers the chance to work on high-impact machine learning problems, shape production-ready models, and contribute to the development of a platform that’s democratising access to AI-driven automation. Key Responsibilities: Model Development: Design, train, and deploy machine learning models for computer vision use cases such as object detection, classification, and segmentation. … needed. Research & Innovation: Keep current with advances in ML and CV, and apply new methods to solve business problems. Your Profile: Master’s degree (or equivalent) in Computer Science, Machine Learning, or a related field. 3+ years of experience deploying ML models in production. Proficient in Python and ML frameworks (e.g., TensorFlow, PyTorch). Experience working with cloud More ❯

Machine Learning Engineer - London Salary: £80,000 – £150,000 + Equity About Them Our client are a fast-growing AI startup revolutionising the video intelligence space. They've been building a cutting-edge video AI platform that delivers real-time insights and exceptional user experiences across various industries. Their team, composed of experienced professionals from leading technology … firms, is tackling cutting-edge challenges at the intersection of machine learning, infrastructure, and product development. Responsibilities Fine-tune open-source PyTorch models using proprietary datasets. Convert and optimise models for high-performance C++ runtimes. Design and execute experiments balancing latency, accuracy, and robustness. Integrate ML models into production pipelines and own downstream performance metrics. Maintain and improve … existing ML systems in our production environment. Stay current with deep learning research and propose practical applications in the video AI domain. About you Solid software engineering skills with a focus on writing production-grade code. Strong foundations in machine learning. Experience with PyTorch and Python 3; familiarity with C++ preferred. Experience with containerisation (Docker), model profiling. Why More ❯

Machine Learning Engineer - Up to £150k + Equity Location: Central London, 5 days onsite Salary: £80,000 – £150,000 + Equity About Them Our client are a fast-growing AI startup revolutionising the video intelligence space. They've been building a cutting-edge video AI platform that delivers real-time insights and exceptional user experiences across various … industries. Their team, composed of experienced professionals from leading technology firms, is tackling cutting-edge challenges at the intersection of machine learning, infrastructure, and product development. Responsibilities Fine-tune open-source PyTorch models using proprietary datasets. Convert and optimise models for high-performance C++ runtimes. Design and execute experiments balancing latency, accuracy, and robustness. Integrate ML models into … production pipelines and own downstream performance metrics. Maintain and improve existing ML systems in our production environment. Stay current with deep learning research and propose practical applications in the video AI domain. About you Solid software engineering skills with a focus on writing production-grade code. Strong foundations in machine learning. Experience with PyTorch and Python 3; familiarity More ❯

MACHINE LEARNING SCIENTIST - Simulations and Optimisation £60,000 - £80,000 HYBRID - London COMPANY: We are working with an exciting AI startup who focus on using digital twin technology to help predict and capture future demand and maximise resources amongst transport networks ROLE: Focus on technical work around simulation and optimisation. Building real time pictures/data sets and … model to look at historical data and uncovering real time system dynamics through live components Predictive modelling to predict passenger flow Mix of classical ML, simulation optimisation and deep learning REQUIREMENTS: Proven experience in optimisation and/or simulation A strong background in classical ML 3+ Years experience An MSc or PhD in a strong STEM subject PROCESS: Intro More ❯

Machine Learning Engineer 18 month project, 6 month rolling contracts. Rate negotiable but upwards of 600 p/d. Looking for people with the following skillset: Python, Pytorch, Tensorflow, Langgraph, Langchain, CrewAI, LlamaIndex etc ML Ops VertexAI Prompt Engineering 1st of July start date. Apply through this advert or email jack.herbert@oliverbernard.com for more info. More ❯

Machine Learning Engineer (LLMs & Agentic AI) - Positive Impact Start-Up An exciting opportunity has opened at a high-growth, early-stage edtech startup that’s already making significant strides in the sector. Backed by top-tier investors and with strong early success, the company is now looking to hire a Machine Learning Engineer to … join their small, high-impact team. If you're a bright, ambitious engineer, ideally with exposure to large language models (LLMs) and agentic AI systems, then this could be the role for you! About You: Excellent academic background (top universities preferred) ~1 year of hands-on ML/AI experience Exposure to LLMs and/or agentic systems Entrepreneurial … world impact Well-funded, with serious momentum and ambition For more details or to apply, get in touch today - this is a rare opportunity to shape the future of learning through AI. Machine Learning Engineer (LLMs & Agentic AI) - Positive Impact Start-Up More ❯

Role: Machine Learning Engineer (PhD Graduate) Salary: £70,000 - £90,000 Location: London, fully on-site 5 days per week Drive innovation in 3D and visual realism at a deep tech startup pioneering the next generation of content creation tools. ROLE AND RESPONSIBILITIES Join a concise team of MLEs, working at the intersection of 3D, rendering, texturing More ❯

Role: Machine Learning Engineer (MSc/PhD Graduate) Salary: £70,000 - £90,000 Location: London, fully on-site 5 days per week Drive innovation in 3D and visual realism at a deep tech startup pioneering the next generation of content creation tools. ROLE AND RESPONSIBILITIES Join a concise team of MLEs, working at the intersection of 3D More ❯

We are recruiting on behalf of an ambitious new startup founded by an exceptional team of ex-big tech researchers and engineers. Based between London and SF, they’ve recently raised over $15M in pre-seed funding from world-class More ❯

We are seeking a skilled Machine Learning Developer with expertise in Spark ML, predictive modeling, and deploying training and inference pipelines on distributed systems such as Hadoop. The ideal candidate will design, implement, and optimize machine learning solutions for large-scale data processing and predictive analytics. London Long Term Contract Rate - 550-600 pd Hybrid - Max … Three Days in the office Responsibilities: Develop and implement machine learning models using Spark ML for predictive analytics. Design and optimize training and inference pipelines for distributed systems (e.g., Hadoop). Process and analyze large-scale datasets to extract meaningful insights and features. Collaborate with data engineers to ensure seamless integration of ML workflows with data pipelines. Evaluate … to improve accuracy and efficiency. Implement scalable solutions for real-time and batch inference. Monitor and troubleshoot deployed models to ensure reliability and performance. Stay updated with advancements in machine learning frameworks and distributed computing technologies. Required Skills: Proficiency in Apache Spark and Spark MLlib for machine learning tasks. Strong understanding of predictive modeling techniques (e.g. More ❯

Machine Learning Engineer – Robotic Manipulation | Cutting-Edge Space Tech | Equity Opportunity 🌌 Location: Hybrid (UK-based) Salary: Competitive + Equity Join a stealth-mode innovator at the forefront of autonomous robotics, building next-gen systems that operate in the most extreme environments—space. This is your chance to shape the future of orbital infrastructure and space domain defence. … We're on the hunt for a Machine Learning Engineer with a passion for robotic manipulation. You’ll be the mastermind behind intelligent grasping systems—designing, training, and deploying ML models that enable robots to interact with unknown objects in unpredictable environments. This isn’t just another ML role. It’s a chance to take your work … robotics, vision, hardware, and software teams to bring your models to life. Own performance benchmarking and real-world validation. 🧠 What You Bring 5+ years in ML, Robotics, or Reinforcement Learning (or equivalent hands-on experience). Deep understanding of robot manipulation—both classical and ML-based approaches. Proficiency in Python & C++, and experience with ML frameworks like PyTorch or More ❯

Lead Machine Learning Engineer Location: London (5 days a week with some hybrid flexibility) Salary: £110,000-£125,000 + equity (discussed post probation) A London-based deep tech startup is hiring a Lead Machine Learning Engineer to drive its next stage of growth. The company is building cutting-edge tools that blend machine learning, 3D rendering, and real-world material capture — powering new ways for digital artists and creators to produce ultra-realistic virtual content at scale. Backed by proprietary technology and traction in industries such as VFX and gaming, the company is now looking for a technical leader who can set strategic direction, oversee ML and software teams, and help … collaboration between ML, software, and product teams What we’re looking for Proven experience leading ML teams, ideally in a startup or fast-moving environment Strong understanding of applied machine learning in 3D, VFX, graphics, or gaming domains Ability to evaluate, prioritise, and deliver ML projects that drive product value Comfort balancing hands-off technical strategy with occasional More ❯

Role: Lead Machine Learning Engineer Salary: Up to £120,000 Location: London, fully on-site 5 days per week Drive innovation in 3D and visual realism at a deep tech startup pioneering the next generation of content creation tools. ROLE AND RESPONSIBILITIES Lead a concise team of MLEs, working at the intersection of 3D, rendering, texturing, diffusion More ❯

Machine Learning Engineer – London – Exciting Early-Stage Start-Up Are you looking for you next Machine Learning Engineering role? Do you want to be a part of an exciting and hard-working team? This may be the position for you! This Machine Learning Engineer role is an early-stage position as the … to be a part of a small and high performing team as well as the capability to work well independently. You should be driven to design and build elite machine learning and computer vision software solutions. You will ideally have: A solid academic background, preferably from a leading University with high grades in Computer Science or a STEM … subject 2+ years commercial experience as a Machine Learning Engineer Motivated about joining an early-stage start-up Excellent communication and collaboration abilities Familiarity with modern frameworks and languages (e.g., React, Vue, Golang, iOS, Android) is a plus, but not required What you can expect: A competitive salary Equity options Flexible, hybrid working environment Working alongside an More ❯