machine learning engineer

Haystack

<div>
 We are working with a pioneering technology firm that is at the forefront of developing cutting-edge AI solutions for real-world applications across various industries. This company is renowned for its innovative approach to machine learning and its commitment to pushing the boundaries of what's possible.
 
 
 The Role
 
 
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 Develop, train, and optimise advanced computer vision and machine learning systems
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 Deploy machine learning solutions in constrained edge environments
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 Work with a team of experts on innovative AI projects
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 Contribute to the full lifecycle of machine learning model development
 
 
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 What You'll Need
 
 
 <ul>
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 Proven experience as a Machine Learning Engineer
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 Expertise in computer vision and machine learning model development
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 Familiarity with deploying models in edge environments
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 Strong problem-solving skills and an analytical mindset
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 Excellent communication and collaboration abilities
 
 
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 What's On Offer
 
 
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 Competitive salary based on experience
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 Opportunity to work on groundbreaking AI technology
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 Diverse and inclusive work environment
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 Professional growth and development opportunities
 
 
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 </ul>
 Apply via Haystack today!
 
 
</div>

Machine Learning Engineer

Hyper Recruitment Solutions

<div>
 
 Role Overview
 
 
 
 We are currently looking for a Machine Learning Engineer to join a pioneering research organisation dedicated to advancing drug discovery through innovative approaches to disordered proteins. This is an exciting opportunity for a candidate with a strong industrial background and a passion for applying machine learning to complex biological problems. Based at their modern facility, you will play a key role in driving forward cutting-edge research in a dynamic, open-source environment.
 
 
 In this position, you will be responsible for developing and deploying machine learning models specifically tailored to tackle the challenges presented by highly dynamic and disordered proteins, with a particular focus on NMR data. You will work independently within a small, autonomous team, influencing research directions and interpreting self-generated data to uncover new insights in this emerging scientific frontier.
 
 
 
 Key Duties And Responsibilities
 
 
 
 Your duties as the Machine Learning Engineer will be varied, however the key duties and responsibilities are as follows:
 
 
 <ul>
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 Develop and implement machine learning models to analyse complex biological data, particularly focusing on disordered proteins.
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 Collaborate with scientific teams to interpret data, draw insights, and refine experimental approaches based on model findings.
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 Engage directly with real biological problems, balancing modelling expertise with practical, applied research.
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 Use your technical knowledge to drive projects independently within a small, open-source environment, ensuring results are meaningful and impactful.
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 As the Machine Learning Engineer, you will be pivotal in translating scientific challenges into effective computational solutions.
 
 
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 </ul>
 
 Role Requirements
 
 
 
 To be successful in your application to this exciting role as the Machine Learning Engineer we are looking to identify the following on your profile and past history:
 
 
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 A Degree or higher level in a relevant field (e.g., Computer Science, Data Science, Bioinformatics) with proven applied experience.
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 Demonstrated industrial experience in developing machine learning solutions within biological or biochemical research settings.
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 Strong understanding of disordered proteins, protein dynamics, and limitations of static techniques like NMR.
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 Proven ability to work independently, drive projects forward, and influence research directions within small, autonomous teams.
 
 
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 </ul>
 
 WHAT&rsquo;S IN IT FOR YOU?
 
 
 
 This is a rare opportunity to contribute to groundbreaking research in drug discovery at a forward-thinking, non-profit organisation. You will benefit from a collaborative, open-source environment with significant influence over scientific direction, paired with a competitive salary package and the potential for sponsorship if required. Working four days on-site offers excellent work-life balance, within a state-of-the-art facility supported by recent government funding.
 
 
 Key Words:
 
 Machine Learning
 
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 Bioinformatics
 
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 Disordered Proteins
 
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 NMR
 
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 Applied Research
 
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 Autonomy
 
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 Biological Data Analysis
 
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 Open Source
 
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 Innovation
 
 /
 
 Drug Discovery
 
 
 
 "Hyper Recruitment Solutions Ltd (HRS) is an Equal Opportunities employer. We welcome applications from anyone who meets the role requirements. HRS exclusively supports the STEM sectors, combining recruitment expertise with scientific knowledge to help you advance your career".
</div>

ASOS.com

<div>
 
 We&rsquo;re ASOS, the online retailer for fashion lovers all around the world.
 
 
 
 
 We exist to give our customers the confidence to be whoever they want to be, and that goes for our people too. At ASOS, you&rsquo;re free to be your true self without judgement, and channel your creativity into a platform used by millions.
 
 
 
 
 Everyone needs some help showing up as their best self. We're Disability Confident Committed - Let our Talent team know if you need any adjustments throughout the process in whatever way works best for you.
 
 
 
 
 
 
 Job Description
 
 
 
 
 We&rsquo;re looking for a Machine Learning Engineer to join our
 
 Search &amp; Recommendations team
 
 , where we build the systems that power how customers discover products across ASOS.
 
 
 
 
 This is a highly impactful space - our recommendation and ranking models sit directly in the customer journey, powering experiences like &ldquo;similar items&rdquo;, &ldquo;people also viewed&rdquo;, and real‑time personalised journeys that adapt as customers browse.
 
 
 
 
 These systems run at global consumer scale, continuously learning from customer behaviour - including clicks, views, and interactions - to dynamically rank and surface the most relevant products in real time.
 
 
 
 
 Working in a cross‑functional team of machine learning engineers, data scientists, and product partners, you&rsquo;ll help take models from experimentation into robust, production systems that directly influence customer experience and commercial outcomes.
 
 
 
 
 You&rsquo;ll also contribute to the next generation of discovery at ASOS - from sequence‑based recommendation models to emerging areas like outfit generation and AI‑driven styling experiences.
 
 
 
 
 
 What you'll be doing
 
 
 
 
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 Designing and building production-grade machine learning systems that power personalisation and discovery
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 Developing and improving recommender systems and ranking models used across the customer journey
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 Deploying models into batch and real-time environments, ensuring scalability, reliability, and performance
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 Collaborating with data scientists to translate experimental models into production-ready systems
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 Monitoring, evaluating, and iterating on models using real-world behavioural signals
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 Contributing to engineering best practices, tooling, and shared ML platform capabilities
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 
 About You
 
 
 
 
 
 We&rsquo;re keen to hear from Machine Learning Engineers who enjoy learning, collaboration, and building practical solutions.
 
 
 You don&rsquo;t need to meet every requirement below to apply - if the role sounds like a good fit for your experience or career direction, we&rsquo;d encourage you to apply.
 
 
 
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 Experience contributing to the development or deployment of machine learning solutions
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 Familiarity with modern machine learning frameworks and model deployment workflows
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 Experience training models using GPUs, or an interest in distributed and scalable systems
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 Understanding of software engineering practices such as version control, CI/CD, containerisation, and monitoring, particularly within ML or MLOps contexts
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 A collaborative working style, with clear communication and comfort working across disciplines
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 A willingness to learn, share knowledge, and grow in a supportive, fast‑moving environment
 
 
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 </ul>
 
 Additional Information
 
 
 
 
 
 BeneFITS&rsquo;
 
 
 
 
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 Employee discount (hello ASOS discount!)
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 Employee sample sales
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 25 days paid annual leave + an extra celebration day for a special moment
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 Private medical care scheme
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 Fixed Annual Payment in addition to your salary each year, it's just an extra thank you from us
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 Opportunity for personalised learning and in-the-moment experiences that enable you to thrive and excel in your role
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</div>

IMC Trading

<div>
 As a Machine Learning Engineer, you will play a pivotal role in building systems that drive the training and deployment of large-scale ML models across our global operations. You'll collaborate with leading researchers, hardware experts, and software engineers to build robust solutions that maximize the potential of GPU acceleration, distributed computing, and the latest open-source tools. Your work will influence our trading strategies by accelerating experimentation cycles that foster continuous innovation and refinement.
 
 
 This is a unique opportunity to solve problems at the intersection of advanced machine learning and trading, where your contributions will shape the future of IMC&rsquo;s technology and trading capabilities.
 
 
 
 Your Core Responsibilities
 
 
 
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 The opportunity to be in a brand new position in a growing team
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 Develop large-scale distributed training pipelines to manage datasets and complex models
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 Build and optimize low-latency inference pipelines, ensuring models deliver real-time predictions in production systems
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 Develop libraries to improve the performance of machine learning frameworks
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 Maximize performance in training and inference using GPU hardware and acceleration libraries
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 Design scalable model frameworks capable of handling high-volume trading data and delivering real-time, high-accuracy predictions
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 Collaborate with quantitative researchers to automate ML experiments, hyperparameter tuning, and model retraining
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 Partner with HPC specialists to optimize workflows, improve training speed, and reduce costs
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 Evaluate and roll out third-party tools to enhance model development, training, and inference capabilities
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 Dig into the internals of open-source ML tools to extend their capabilities and improve performance
 
 
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 Your Skills And Experience
 
 
 
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 5+ years of experience in machine learning with a focus on training or inference systems
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 Hands-on experience with real-time, low-latency ML pipelines in high-performance environments is a strong plus
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 Strong engineering skills, including Python, CUDA, or C++
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 Knowledge of machine learning frameworks such as PyTorch, TensorFlow, or JAX
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 Proficiency in GPU programming for training and inference acceleration (e.g., CuDNN, TensorRT)
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 Experience with distributed training for scaling ML workloads (e.g., Horovod, NCCL)
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 Exposure to cloud platforms and orchestration tools
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 A track record of contributing to open-source projects in machine learning, data science, or distributed systems is a plus
 
 
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 About Us
 
 
 
 IMC is a global trading firm powered by a cutting-edge research environment and a world-class technology backbone. Since 1989, we&rsquo;ve been a stabilizing force in financial markets, providing essential liquidity upon which market participants depend. Across our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers, engineers, traders, and business operations professionals are united by our uniquely collaborative, high-performance culture, and our commitment to giving back. From entering dynamic new markets to embracing disruptive technologies, and from developing an innovative research environment to diversifying our trading strategies, we dare to continuously innovate and collaborate to succeed.
</div>

Encord

<div>
 
 About Us
 
 
 
 Encord is the universal data layer for AI that helps 300+ AI teams train and run models on the right data. Our platform indexes, curates, annotates, and evaluates data across the full AI lifecycle, from development through production. Trusted by Woven by Toyota, AXA, UiPath, Zipline, and more.
 
 
 We're an ambitious team of 100+ working at the frontier of AI and have raised $60M in Series C funding from Wellington Management, CRV, Next47 and Y Combinator.
 
 
 
 The role
 
 
 
 We are looking for an experienced Machine Learning Engineer to join our team and help us build and scale cutting-edge machine learning and computer vision solutions that power real AI workflows. You'll work hands-on across the full ML lifecycle &mdash; from experimenting with the latest models and techniques to integrating them into a production platform used by hundreds of AI teams worldwide.
 
 
 This is a highly collaborative role where you'll partner closely with our product engineering and human data teams to turn complex algorithmic ideas into reliable, scalable features that customers love. Our work is at the cutting edge of computer vision and deep learning, which also includes working on solving unsolved problems within those fields.
 
 
 If you're someone who thrives at the intersection of strong ML fundamentals and practical engineering, and wants to see their work make a direct impact at scale &mdash; this is the role for you.
 
 
 
 What You'll Do
 
 
 
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 Experiment with and adapt the latest ML technologies to fit into our existing tech stack
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 Solve idiosyncratic statistical, geometric, and engineering problems
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 Work closely with a full-stack tech team to assist implementation of research solutions into the product
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 Contribute to hiring additional talent to our rapidly growing team
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 Work with a broad tech stack (e.g. ReactJS, Python, REST &amp; GraphQL, OpenCV, PyTorch, GCP, AWS &amp; CUDA, Kubernetes) and the cutting edge of computer vision and deep learning
 
 
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 Who We're Looking For
 
 
 
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 Hands-on and experimental &mdash; you're comfortable executing on projects end-to-end, running tests, and iterating based on what the data tells you
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 Collaborative by nature &mdash; you work closely with engineering and product teams to turn complex algorithmic ideas into reliable, scalable features
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 Driven to solve hard problems &mdash; you thrive at the intersection of strong ML fundamentals and practical engineering
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 Bonus: you've led or contributed to applied research teams and have relevant publications to show for it
 
 
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 Experience Requirements
 
 
 
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 3+ years of experience in machine learning engineering, with concrete examples of models or systems you've built and shipped
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 Strong experience in Python and ML libraries such as OpenCV, PyTorch, TensorFlow, Fast.ai, and Keras
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 Strong foundation in mathematical programming, algorithmic problem solving, and applied machine learning
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 Bonus: experience in the AI/ML ecosystem and familiarity with computer vision
 
 
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 Why Encord
 
 
 
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 Competitive salary, commission, and meaningful equity in a high-growth startup
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 Strong in-person culture &mdash; most of the team works from our London office 4+ days/week
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 25 days annual leave + UK public holidays
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 Annual learning &amp; development budget
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 Travel for customer visits, events, and conferences across the UK and Europe
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 Company lunches twice a week
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 Monthly socials &amp; bi-annual team offsites
 
 
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</div>

Information Tech Consultants

<div>
 
 
 Job Title:
 
 Data Scientist/Machine Learning Engineer
 
 
 
 Location:
 
 UK
 
 
 
 Experience:
 
 2&ndash;5 years
 
 
 
 Education:
 
 Master's in Science (IT/Computer Science/Engineer)
 
 
 
 Employment Type:
 
 Full-Time
 
 
 
 UK based candidates only.
 
 
 
 Information Tech Consultants Ltd (ITC) is an IT management and consulting firm based in Central London. Information Tech Consultants Ltd (ITC) is an IT management and consulting firm based in Central London. We are responsible for sourcing and hiring field experts for various companies. We primarily work with Software and Cloud Hosted Services organizations as well as Mobile Apps and Service companies.
 
 
 
 Required Skills:
 
 
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 2-4 years of experience in Data science/Machine learning models from coding to deployment.
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 Work with datasets using Python or R, SQL, No SQL.
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 Assist in developing predictive and statistical models
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 Write and optimize queries using SQL.
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 Familiarity with data manipulation libraries (Pandas, NumPy), Understanding of statistics and probability.
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 Hands-on experience with ML libraries like Scikit-learn, TensorFlow, or PyTorch.
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 </ul>
 
 
 Preferred Skills:
 
 
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 Hands on experience in coding (mandatory python and SQL or C++).
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 Understanding of Generative AI, Computer Vision cloud technology, NLP, Deep Learning.
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 Familiarity working with large data sets.
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 Project Management background preferred.
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 </ul>
 
 
 
 
 
 Qualifications :
 
 
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 Master&rsquo;s (Required)
 
 in Data Science, Mathematics, Statistics, Economics, IT related fields and 2- 4 years of experience in Information Technology.
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 You should be entitled to work in the UK with legal work authorization status.
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 Must be willing to travel within the UK as per project/client requirements.
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 Excellent communication skills and teamwork skills.
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 </ul>
 
 
</div>

Compare the Market

<div>
 
 Job Description
 
 
 
 
 Machine Learning Engineer
 
 
 
 
 Function:
 
 Data &amp; AI Solutions
 
 
 
 Location:
 
 Hybrid, London office
 
 
 
 Curious about what&rsquo;s next?
 
 
 
 So are we. Join Compare the Market and help to make financial decision making a breeze for millions.
 
 
 At Compare the Market, we&rsquo;re a purpose-driven business powered by tech and AI. We&rsquo;re building high-performing, results-driven teams with the skills, mindset, and ambition to deliver outcomes at pace. Every role here plays a part in driving our mission forward, and we create an environment where you can bring your authentic self, grow a truly characterful career, and see the direct impact of your work on the lives of our customers.
 
 
 We&rsquo;ve carved a meerkat-shaped niche and we&rsquo;re looking for ambitious, curious thinkers who thrive in a fast-moving, high-impact environment. If you love accountability, embrace challenge, and want to make a real difference, you&rsquo;ll fit right in.
 
 
 
 We&rsquo;d love you to be part of our journey.
 
 
 
 Compare the Market is building AI systems that connect directly to how millions of people in the UK find and buy financial products - and as a Machine Learning Engineer, you will play an important role in making those systems production-ready. That means contributing to the engineering that takes ML models and AI capabilities from experimentation into reliable, scalable production use: the pipelines, the deployment tooling, the monitoring, and the shared components that make the whole thing work.
 
 
 This is a hands-on role where you will grow your technical skills across a fast-moving and expanding set of AI capabilities and systems. You will work closely with data scientists, engineers, and product teams - delivering well-scoped ML and AI features, contributing to engineering standards, and building your understanding of what good looks like in a modern ML engineering function.
 
 
 
 Some Of The Great Things You'll Be Doing
 
 
 
 
 ML Engineering and AI Systems
 
 
 
 <ul>
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 Deliver well-scoped ML and AI system components end-to-end, from design through to testing, deployment, and production support
 </li>
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 Contribute hands-on code to model packaging, deployment, and lifecycle automation
 </li>
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 Build and improve systems that monitor model performance, drift, reliability, and operational health
 </li>
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 Support both batch and real-time ML workloads depending on use case requirements
 </li>
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 Work on emerging AI and LLM-powered capabilities, helping integrate modern AI techniques into production systems where they can deliver real user value
 
 
 </li>
 </ul>
 
 Platform and Standards
 
 
 
 <ul>
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 Contribute to the evolution of our internal ML and AI platform to support experimentation, governance, and collaboration
 </li>
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 Apply and help promote best practices for ML and AI system design, including reproducibility, testing, CI/CD, model and agent observability and evaluation
 </li>
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 Contribute to shared tools and libraries that accelerate safe, efficient, and scalable ML development
 
 
 </li>
 </ul>
 
 Collaboration
 
 
 
 <ul>
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 Work closely with data scientists to help productionise experimental models and turn prototypes into robust services
 </li>
 <li>
 Contribute to code reviews, providing and receiving constructive feedback
 </li>
 <li>
 Participate in architecture and design discussions, raising considerations around scalability, reliability, and system interactions
 
 
 </li>
 </ul>
 
 Culture and Innovation
 
 
 
 <ul>
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 Contribute to a culture of engineering excellence, collaboration, and continuous learning
 </li>
 <li>
 Stay curious about emerging tools and approaches in MLOps and applied AI, and bring ideas for improvement to the team
 </li>
 <li>
 Support responsible AI practices, contributing to explainability, auditability, and fairness in ML systems
 
 
 </li>
 </ul>
 
 The Essentials
 
 
 
 
 What we'd like to see from you:
 
 
 
 <ul>
 <li>
 Some experience delivering ML or AI components in a production or near-production environment
 </li>
 <li>
 Solid software engineering skills in Python, with an understanding of how to write maintainable, testable code
 </li>
 <li>
 Familiarity with ML tooling and platforms such as Databricks, MLflow, Airflow, or equivalent
 </li>
 <li>
 Familiarity with CI/CD pipelines and how they apply to ML systems
 </li>
 <li>
 An understanding of ML lifecycle challenges - versioning, testing, monitoring, governance
 </li>
 <li>
 Good collaboration and communication skills, with an ability to work effectively across data science, engineering, and product teams
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Exposure to LLM-based systems - for example prompt engineering, RAG, or orchestration frameworks such as LangGraph or LangChain
 </li>
 <li>
 Familiarity with multi-step AI patterns - systems where models plan, retrieve information, and take sequences of actions
 </li>
 <li>
 Active personal use of AI-assisted or agentic coding tools, and an interest in how similar patterns could be applied to automate and accelerate ML engineering workflows - candidates who are exploring this space, even at an early stage, are encouraged to talk about it
 </li>
 <li>
 Experience or interest in financial services, insurance, or another regulated sector
 </li>
 <li>
 Interest in responsible AI and ML model governance
 
 
 </li>
 </ul>
 
 Why Compare the Market?
 
 
 
 We&rsquo;re a business built for pace and performance. Here, you&rsquo;ll be encouraged to think differently, act boldly, and deliver brilliantly in a culture that values results and rewards progress.
 
 
 We believe diverse teams make better decisions, and we&rsquo;re committed to creating an inclusive workplace where everyone feels empowered to grow, contribute, and thrive.
 
 
 If you&rsquo;re ready to stretch yourself, raise the bar, and grow with a team that&rsquo;s serious about performance, innovation, and purpose, we&rsquo;d love to hear from you.
</div>

Explore 932+ Machine learning engineer in London this July. Find roles across top companies and apply now to boost your career.

932 machine learning engineer jobs In London

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Machine Learning Engineer