312 Machine Learning Engineer jobs in London
Machine Learning Engineer
London, London
Digital Waffle
Posted today
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Job Description
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 join early, influence the technical roadmap, and work directly with experienced founders and a senior engineering team. What you’ll be doing: Designing, building and deploying ML-powered 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 ML models in production Proficiency in Python and familiarity with TypeScript/JavaScript Experience with NLP or recommendation systems is a bonus Excited by start-ups: product-minded, hands-on, and motivated by impact What’s on offer: £100,000 - £120,000 salary meaningful equity 4 days/week in a modern London office near Liverpool St Greenfield ML ownership with direct access to founding team A chance to shape the future of an AI product already loved by users
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0
Machine Learning Engineer
London, London
Solvo.ai
Posted today
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Job Description
Please note this Role is based in London, local candidates only! Solvo.ai is redefining global container shipping with AI. We build machine learning systems that power intelligent, sustainable, and profitable decision-making for one of the world’s most complex industries. Nothing we do is hypothetical. Everything we do has a measurable impact. Our combined experience of over 100 years in logistics, artificial intelligence and scaling startups allows us to innovate boundlessly, constantly push the frontiers of what’s possible, and generate revolutionary tools to deliver business impact to our customers. We stand proudly, not just for what we achieve, but for how we achieve it - creating trust through professionalism, integrity, and transparency. The role: We are looking for an exceptional Machine Learning Engineer (MLE) to join our team and accelerate the next generation of Solvo’s AI products. This is a hands-on role at the intersection of research and production, where your work will ensure our customers get maximum value out of our solutions. The ideal candidate for this role will get stuck in across the organisation, moving naturally from intricate data analysis, through detailed ML considerations and onto the broader business context. You will have the freedom to propose, research and implement innovative new ideas to improve our system. If you want to apply cutting-edge machine learning to a trillion-dollar industry, and you’re motivated by seeing your work have immediate business impact, we’d love to hear from you. Your responsibilities Innovate on Solvo’s modelling and decision making solution. Create value for customers through application of ML principles and best practice. Strive for high quality and robust outcomes. Continuously ensure we are using the most appropriate ML modelling techniques for customer projects and our product offerings. Design and develop production-grade software, ensuring scalability and performance. Collaborate closely with scientists and engineers in an agile team environment. Facilitate understanding of our AI solutions internally and externally. Continuously develop your own AI/ML and engineering skills. Essential skills and experience Academic or industrial research experience in machine learning, especially probabilistic models and Bayesian statistics. Proficiency in designing and programming advanced ML algorithms. Ability to apply state-of-the-art research to real-world problems. Proficiency in operating and evolving advanced ML systems in a production environment. Strong communication skills with the ability to convey complex ideas to both technical and non-technical audiences. Advanced degree (PhD/MSc) in a relevant field (e.g., Computer Science, Statistics, Applied Mathematics). Experience working in an agile team environment. Desired qualifications, skills and experience PhD degree in a relevant field. Good working knowledge of optimisation (linear programming). Strong experience with Python and standard ML libraries. Familiarity with cloud computing platforms (e.g., AWS, Google Cloud, Azure). Equal employment opportunity Solvo.ai is an equal opportunity employer and we value diversity. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Benefits A competitive compensation package including equity Career growth opportunities on a personal and professional level Be part of a very talented, collaborative team that continuously strives for innovative solutions A friendly work environment where you are expected to challenge and be challenged every single day 25 days paid holiday Job type: full-time; permanent contract; On-site (hybrid)Location London, United Kingdom
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1
Machine Learning Engineer
London, London
SGI
Posted today
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Machine learning Quantitative Engineer London - Hybrid working Rate - £1,200 Key Responsibilities Research, design, and implement machine learning and quantitative models for pricing, trading signals, and risk management across Fixed Income products (rates, credit, FX, mortgages). Apply advanced statistical learning methods (time-series, NLP, deep learning, reinforcement learning, graph-based models) to large-scale, high-frequency, and alternative datasets. Engineer robust data pipelines and real-time model deployment frameworks to support production trading environments. Collaborate with traders, quants, and technologists to prototype and scale strategies from research to execution. Conduct rigorous backtesting, performance analysis, and explainability assessments of machine learning models. Contribute to the development of quantitative libraries and shared research infrastructure. Qualifications & Skills Essential: Strong expertise in machine learning, statistical modelling, and numerical methods with practical applications. Proficiency in Python (NumPy, Pandas, scikit-learn, PyTorch/TensorFlow) and experience with C++ or Java for high-performance model integration. Solid understanding of Fixed Income products, yield curve modelling, and financial mathematics. Experience building production-level ML systems in low-latency or large-scale environments. Strong communication skills with the ability to interact effectively with both technical and trading stakeholders. Desirable: Previous front-office or systematic trading desk experience. Familiarity with modern MLOps (Docker, Kubernetes, MLflow, Airflow) and distributed computing (Spark, Ray). Experience with alpha signal generation, regime detection, or portfolio optimization. Exposure to alternative/ESG datasets, macroeconomic indicators, and sentiment analysis.
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2
Machine Learning Engineer
London, London
Intellect Group
Posted today
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Job Description
Are you a Machine Learning Engineer ready to kickstart your career in AI? We’re looking for a driven and detail-oriented Machine Learning Engineer to join our hybrid-working team in London. You’ll collaborate with talented engineers and data scientists to build and deploy intelligent systems that transform unstructured data into actionable insight. You’ll be joining a fast-growing AI company developing automation solutions that extract meaning from emails, documents, and other unstructured communications — turning them into structured data and insights that drive real business decisions. Our technology powers next-generation AI workflows for enterprise clients across sectors like finance and professional services. This is an exciting opportunity for a recent graduate or early-career professional with up to one year of experience who’s passionate about machine learning, generative AI, and applying cutting-edge research to real-world challenges. In this role, you’ll: Design, train, and evaluate machine learning and deep learning models for production environments Develop and optimise end-to-end ML pipelines — from data preparation to model deployment Experiment with advanced generative and predictive models , including diffusion, autoregressive, and transformer-based architectures Collaborate with data engineers and software developers to integrate AI solutions into scalable systems Contribute to research and experimentation around model performance, optimisation, and privacy-aware learning What’s in it for you? Career Growth – Build hands-on experience in cutting-edge AI while developing your technical expertise through mentorship and ongoing learning Impactful Work – Contribute to real-world projects where your models and insights directly shape intelligent products Collaborative Environment – Join a supportive, curious, and innovative team that values experimentation and creative problem-solving Hybrid Flexibility – Balance remote focus time with in-person collaboration at our London office Learning Pathway – Gain exposure to advanced ML frameworks and progress toward senior engineering roles as you grow What We’re Looking For: A degree in Artificial Intelligence, Computer Science, Mathematics, or a related field Proficiency in Python and experience with frameworks such as PyTorch , NumPy , or Scikit-learn Understanding of machine learning algorithms, optimisation, and model evaluation Strong mathematical reasoning and analytical problem-solving skills Excellent communication skills and a genuine passion for learning and innovation Nice to Have: Experience with JAX , Hydra , or Weights & Biases Exposure to GANs , diffusion models , or autoregressive architectures Knowledge of data privacy , machine unlearning , or secure ML methods Internship or academic project experience in AI research , data science , or software development If you’re ready to take your first step into applied machine learning and work on projects that push the boundaries of AI innovation — we’d love to hear from you. Apply now and be part of shaping the future of intelligent automation!
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3
Machine Learning Engineer
London, London
Movement8
Posted today
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Lead ML Engineer - Onsite 5 days a week - London Happy to look at European relocators An Edtech Start-up in London are building something transformative in the education space using cutting-edge machine learning. We're looking for a Lead ML Engineer to take ownership of the machine learning strategy, build out the team, and help shape the future of AI in education. Responsibilities: Build and lead a new ML team from the ground up. Define the tech stack for data pipelines and ML models. Develop generative models using diverse datasets (text, audio, video, test results). Design and deploy data integration and analysis pipelines. Collaborate with engineers and product managers to bring ML features to life. Create innovative language assessments and predictive models. Optimize models for performance, scalability, and accuracy. Qualifications: Deep knowledge of neural networks (CNNs, RNNs, LSTMs, Transformers). Strong experience with data tools (Pandas, NumPy, Apache Spark). Solid understanding of NLP algorithms. Experience integrating ML models via RESTful APIs. Familiarity with CI/CD pipelines and deployment automation. Strategic thinking around architecture and trade-offs. If interested please get in touch ASAP!
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4
Machine Learning Engineer
London, London
Information Tech Consultants
Posted today
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Job Description
We're Hiring: Machine Learning Engineer (Urgent requirement - Immediate joiners needed) Location: Onsite (UK-based) Type: Full-time | Permanent Education: Master's in Science (IT/Computer Science/Engineer) Level: Junior to Mid Senior UK based candidates only. What are we looking for? Here at Information Tech Consultants Ltd (ITC) we are providing a unique opportunity for entry level Data Scientists to utilize our skills and expertise to become successful experienced Data Scientist, working with several highly recognized UK and International companies including multiple Fortune 500 and FTSE 100 Clients. You will provide professional consulting services working onsite for start-ups, medium and large sized companies. You will be working on large complex projects so you should be comfortable dealing with demanding stakeholders and providing time driven results. Innovation, Collaboration and Passion are the three core values that we look for in all our personnel. Who are we looking for: Applicants must be experienced working with the following: Essential Skills : · Machine Learning · SQL Server · Knowledge of Data analysis/Mining/Warehousing · Statistical Analysis · Linear Regression · Database Desired Skills : Experience with any of the following: · Python · Hadoop · R · Java/C++ Qualifications and Attitude: Master’s (Required) in Data Science, Mathematics, Statistics, Economics, IT related fields and 2- 5 years of experience in Information Technology. You should be entitled to work in the UK with legal work authorization status. Must be willing to travel within the UK as per project/client requirements. Excellent communication skills and teamwork skills.
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5
Machine Learning Engineer
London, London
Experis UK
Posted today
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Job Description
Job Title: Machine Learning Engineer
Location: London, UK (Hybrid – 2–3 days onsite per week)
Contract Type: Contract
Duration: 6–12 months (possibility of extension)
Start Date: ASAP
Overview
We are seeking an experienced Machine Learning Engineer to join our data science and AI engineering team on a contract basis in London. The ideal candidate will be responsible for designing, developing, and deploying machine learning models and scalable data pipelines that support advanced analytics and intelligent automation initiatives.
This role offers a hybrid work arrangement , combining flexibility with collaboration, and is ideal for a contractor who thrives in fast-paced, data-driven environments.
Key Responsibilities
- Design, build, and deploy machine learning models and AI-driven solutions to address business challenges.
- Collaborate with data scientists to transition prototypes into production-ready systems .
- Develop and maintain end-to-end ML pipelines for data ingestion, training, testing, and deployment.
- Optimise model performance, scalability, and reliability using MLOps best practices.
- Work with large-scale structured and unstructured datasets for model training and validation.
- Implement model monitoring, versioning, and retraining processes to ensure continuous improvement.
- Collaborate cross-functionally with engineering, data, and product teams to integrate ML solutions into production environments.
- Stay current with emerging trends in AI/ML technologies and contribute to innovation within the organisation.
Required Skills & Experience
- Proven experience (3–5+ years) as a Machine Learning Engineer , Data Scientist , or similar role.
- Strong programming skills in Python (experience with libraries such as TensorFlow, PyTorch, scikit-learn, pandas, NumPy).
- Solid understanding of machine learning algorithms , statistical modelling , and deep learning architectures .
- Hands-on experience with MLOps tools and frameworks (e.g., MLflow, Kubeflow, SageMaker, Vertex AI).
- Experience with data engineering concepts — ETL pipelines, data lakes, and cloud data platforms.
- Proficiency with cloud services (AWS, Azure, or GCP) for model deployment and orchestration.
- Knowledge of containerization and orchestration tools (Docker, Kubernetes).
- Experience integrating ML models into production environments via APIs or microservices.
- Excellent problem-solving, analytical, and communication skills.
Preferred Qualifications
- Bachelor’s or Master’s degree in Computer Science , Data Science , Mathematics , or a related field.
- Familiarity with CI/CD pipelines for ML model deployment.
- Exposure to natural language processing (NLP) , computer vision , or reinforcement learning projects.
- Experience working in Agile/Scrum environments.
Contract Details
- Location: Hybrid – London (onsite 2–3 days per week)
- Type: Day-rate contract (Outside/Inside IR35 subject to assessment)
- Duration: 6–12 months (extension likely)
- Start Date: Immediate or within 2–4 weeks
Why Join
- Work with a talented, cross-functional AI and data engineering team.
- Contribute to cutting-edge ML solutions in a collaborative, innovation-driven environment.
- Hybrid flexibility with a strong London presence.
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6
Machine Learning Engineer
London, London
Experis
Posted today
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Job Description
We are seeking a highly skilled Machine Learning Engineer to join our team on a contract basis. You will be responsible for designing, building, and deploying machine learning models into production, working closely with data scientists, software engineers, and product teams to deliver scalable AI solutions. This is an excellent opportunity for someone who thrives in fast-paced environments and enjoys solving complex problems with real-world impact.
Key Responsibilities
- Develop, train, and optimize machine learning models for production use.
- Collaborate with data scientists to turn research prototypes into production-grade solutions.
- Build robust data pipelines and feature engineering workflows.
- Deploy ML solutions into cloud environments (AWS, GCP, or Azure).
- Implement monitoring, testing, and model performance evaluation frameworks.
- Work with engineering teams to ensure seamless integration of ML models into products.
- Contribute to improving infrastructure, tooling, and best practices for ML development and deployment.
Skills & Experience
Essential:
- Strong programming skills in Python (and frameworks such as PyTorch, TensorFlow, or Scikit-learn).
- Proven experience in developing and deploying machine learning models in production.
- Solid understanding of data structures, algorithms, and software engineering principles.
- Experience with ML pipelines and orchestration tools (e.g., Airflow, Kubeflow, MLflow).
- Proficiency in working with cloud services (AWS, GCP, or Azure).
- Strong understanding of CI/CD, containerisation (Docker), and orchestration (Kubernetes).
- Excellent problem-solving skills and ability to work independently in a fast-paced environment.
Desirable:
- Experience with NLP, computer vision, or time-series forecasting.
- Familiarity with distributed computing frameworks (Spark, Ray).
- Experience with MLOps and model governance practices.
- Previous contract experience in a similar ML engineering role.
Contract Details
- Duration: 6–12 months (extension possible)
- Location: London (Hybrid working model)
- Day Rate: Competitive, depending on experience
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7
Machine Learning Engineer
London, London
Acceler8 Talent
Posted 2 days ago
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Job Description
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8
Machine Learning Engineer
London, London
Movement8
Posted 2 days ago
Job Viewed
Job Description
Lead ML Engineer - Onsite 5 days a week - London
Happy to look at European relocators
An Edtech Start-up in London are building something transformative in the education space using cutting-edge machine learning.
We're looking for a Lead ML Engineer to take ownership of the machine learning strategy, build out the team, and help shape the future of AI in education.
Responsibilities:
- Build and lead a new ML team from the ground up.
- Define the tech stack for data pipelines and ML models.
- Develop generative models using diverse datasets (text, audio, video, test results).
- Design and deploy data integration and analysis pipelines.
- Collaborate with engineers and product managers to bring ML features to life.
- Create innovative language assessments and predictive models.
- Optimize models for performance, scalability, and accuracy.
Qualifications:
- Deep knowledge of neural networks (CNNs, RNNs, LSTMs, Transformers).
- Strong experience with data tools (Pandas, NumPy, Apache Spark).
- Solid understanding of NLP algorithms.
- Experience integrating ML models via RESTful APIs.
- Familiarity with CI/CD pipelines and deployment automation.
- Strategic thinking around architecture and trade-offs.
If interested please get in touch ASAP!
This advertiser has chosen not to accept applicants from your region.
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