What Machine Learning Initiatives Jobs are in the United Kingdom?

• Lead the end-to-end project management of AI and Machine Learning research and development projects.
• Develop detailed project roadmaps, sprint plans, and resource allocation strategies for complex R&D endeavours.
• Manage and mentor a team of data scientists, AI engineers, and research specialists in a remote environment.
• Collaborate closely with stakeholders to define project scope, objectives, and key performance indicators for AI/ML solutions.
• Proactively identify and mitigate technical and project risks specific to AI/ML development.
• Ensure effective communication and knowledge sharing across distributed teams using advanced collaboration tools.
• Oversee the integration of AI/ML models into existing or new product lines.
• Manage project budgets and resource allocation, ensuring optimal utilisation of R&D funding.
• Foster an environment of innovation and continuous improvement within the AI/ML project teams.

• Extensive experience as a Project Manager , with a significant focus on Artificial Intelligence and Machine Learning projects.
• Demonstrable success in leading complex R&D initiatives from inception to delivery.
• Strong understanding of AI/ML algorithms, methodologies, and technologies (e.g., deep learning, natural language processing, computer vision).
• Experience managing agile development processes in a research or technical environment.
• Exceptional leadership, communication, and interpersonal skills, with the ability to manage remote teams effectively.
• Proficiency in project management tools tailored for R&D and software development.
• A Master's or Ph.D. in Computer Science, Artificial Intelligence, Data Science, or a related technical field is highly preferred.
• Experience with cloud platforms (AWS, Azure, GCP) for AI/ML workloads is desirable.
• Strong analytical and problem-solving capabilities.

• A highly attractive salary of up to 85000 GBP per annum.
• Fully remote working opportunity, providing maximum flexibility and work-life balance.
• Comprehensive health, dental, and vision insurance plans.
• Generous stock options and performance-based bonuses.
• Substantial budget for continuous professional development, conferences, and training.
• Company-provided home office equipment and technology stipend.
• Opportunities to work on groundbreaking AI advancements and publish research.
• A truly collaborative and intellectually stimulating remote work culture.
• Enhanced vacation policy and personal development days.

Ground Truth Labs

GTL is a well-funded, early-stage startup developing state-of-the-art digital technologies to better understand, diagnose and treat blood cancer patients.

We have built an exceptional, small-by-design, interdisciplinary team to translate leading academic research into real impact on global health.

Since 2023 we have made considerable progress in developing our technology, deploying our first generation of algorithms commercially with global biopharma companies, and working with world-leading academic medical centres to continue developing and validating new biomarker tools that improve patient outcomes. As a member of our small team, you will have the opportunity to help shape our journey and build on our principles of collaboration, focus, and invention.

We are looking for a Machine Learning Scientist to play a critical role in the development of new spatial biology biomarkers for haemato-oncology.

You will develop algorithms that make use of the latest machine learning and computer vision techniques to analyse the cell and tissue morphology at different scales. We expect that you have an enthusiasm for AI products and a track record of interesting projects in image analysis to match.

This is a highly creative, fast-paced environment. Our teams are interdisciplinary, you will work alongside engineering and clinical science to build robust algorithms and to develop methodologies that drive clinical adoption.

We are an early stage company, you will have the opportunity to drive the research direction, lead on new projects and make an impact across the organisation. The successful candidate will be able to identify, build, and champion algorithm products in key strategic areas for GTL.

• Design, develop and implement advanced deep-learning models to extract valuable insights from histology imaging data

• Collaborate with cross-functional teams, including engineers, clinical experts, and product managers, to identify opportunities for data-driven solutions and interpretable algorithms that address clinical questions

• Develop and maintain scalable data pipelines and infrastructure to support data science projects.

• Manage product, software and clinical and regulatory inputs and requirements to translate research algorithms into clinical-grade tools suitable for use in the real world.

• Communicate results and insights to stakeholders and key decision-makers. As well as publicly in research publications and and conference abstracts.

• Stay up-to-date with the latest developments in the field of machine learning, medical imaging, and data science

• PhD or equivalent practical experience in a technical field

• Experience and a track record of innovation in deep learning and statistical analyses

• Expertise in processing and analysing large image datasets using statistical methods

• Ability to work independently and as part of multidisciplinary team within in a fast-paced startup environment

• Strong communication and collaboration skills. Both remote (excellent written communication is key) and in-person

• Strong programming skills in Python and experience with PyTorch

• Track record in computational pathology and/or single-cell transcriptomics analysis, sequencing

• Clinical background or knowledge of cancer biology

• Expertise in multimodality integration which includes histology data, clinical data, sequencing or other multi-omics

• Relevant research experience to the position such as post doctoral roles, a proven track record of publications, or contributions to machine learning codebases

This is an opportunity to join a small, high-calibre team and take ownership of foundational engineering work at a pivotal stage of company growth.

You will work alongside talented machine learning scientists and engineers to build the platform that supports our research, partner delivery, and future products. The role is especially well suited to someone who enjoys building from the ground up, moving quickly, and having tangible impact across an organisation and field.

We primarily work remotely with a strong emphasis on efficient processes that enable high-quality work across asynchronous teams. At the same time, we recognise the importance of spending time together in person to share knowledge, solve hard problems, and build strong working relationships. We therefore expect this role to involve regular travel to London and Oxford. Indicatively, a typical month may involve 2-8 in-person days.

As a team, we value:

1. Concise and engaged communication - we communicate clearly to work effectively in a remote setting.

2. Pride in high-quality work - we pay attention to detail and deliver to the highest standard.

3. A strategic approach - we think critically and creatively about complex issues. We identify the underlying patterns and leverage them to develop effective strategies

4. Collaborative co-creation - we are open to diverse perspectives, bounce ideas off of each other, and build upon each other's strengths.

We welcome applications from all of society. We are committed to equal employment opportunity regardless of age; disability; gender reassignment; marriage and civil partnership; pregnancy and parental; race; religion or belief; sex; sexual orientation or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

This is an opportunity to join a rapidly growing startup in the AI space and make a real impact in the field of blood cancer.

We are looking for software engineers who are thoughtful, rigorous, and committed to building reliable systems that matter. If you care about quality, ownership, and shipping robust products in fast-moving environments, we would love to hear from you.

Please note that when you submit an application, your data will be processed in line with our privacy policy.

ML algorithm development in the RF domain for electronic warfare

South East England, hybrid working;to 58,000 + Benefits

This renowned research institute is developing world-class capabilities in the understanding, management and exploitation of the electromagnetic environment through the application of AI technologies. They research new algorithms and techniques to be used in congested and chaotic RF environments and develop subsequent proof-of-concepts. While there is an academic feel to the work it has real-world impact as your discoveries are further developed and deployed by other teams.

The overriding objective of this team is to ensure the continued security and defence of the UK and UK personnel both at home and overseas. Your research will therefore be focused on detection and exploitation of RF signals including both protection measures and offensive capabilities. You will need to be eligible and willing to undergo SC security clearance checks. This typically means you need to be a UK citizen.

Requirements:

• Demonstrable experience developing algorithms to solve problems in RF, RADAR, communication networks or similar physics or engineering domains.
• Commercial or academic experience applying ML techniques to real-world problems.
• Experience leading high-quality research projects including publishing research to top-tier reviewed journals.
• Strong academics including a relevant PhD or equivalent research focused commercial experience.

Headquartered in central London (close to good rail links) you will need to be in the office weekly although as little as just one day per week with support for significant home working. This is a full time 3-year fixed term contract with the expectation that this can be extended. Benefits are generous and include private medical and dental plans, 10% employer pension contributions and an extensive structured professional development programme.

Keywords: Defence, EM, Electromagnetic, RF, Radio Frequency, AI, Artificial Intelligence, ML, Machine Learning, GNNs, Transformers, Autoencoders, Reinforcement Learning, Multi-Modal AI, Data Fusion, EPM, Electronic Protection Measures, ESM, Electronics Support Measures, EA, Electronics Attack, Python, PyTorch, Jupyter, Rmarkdown

Another top job from ECM, the high-tech recruitment experts.

Even if this job's not quite right, do contact us now - we may well have the ideal job for you. To discuss your requirements call ecm or email your CV. We will always ask before forwarding your CV.

Please apply (quoting ref: CV27672 ) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate.

Machine Learning Engineer

Olive Jar Digital

Olive Jar Digital is seeking a Machine Learning Engineer to help design, build, and refine AI prototypes across multiple Discovery and Alpha initiatives. You will work at the intersection of engineering and data science—transforming experimental models into high‑quality, scalable prototypes, shaping technical architecture, and ensuring robust deployment, testing, and documentation. This role is ideal for someone who enjoys hands‑on technical problem‑solving, rapid iteration, and collaborating closely with data scientists, engineers, product managers, and researchers.

FTC or Permanent • UK‑wide, Remote

• Build, refine, and optimize AI/ML prototypes, ensuring they meet quality, security, and performance standards.
• Develop and maintain technical design documentation, including architecture, model pipelines, and integration patterns.
• Implement automated deployment pipelines, CI/CD flows, unit/regression testing, and monitoring/telemetry for prototypes.
• Deploy models into development and test environments and support iterative updates based on feedback.
• Collaborate with data scientists on model integration, feature engineering, and evaluation frameworks.
• Ensure codebases follow best practices in engineering, documentation, security, and accessibility. Support playback sessions, technical reviews, and knowledge‑transfer activities.

• Strong experience as an ML Engineer or similar role within AI/ML product development.
• Proficiency in building ML pipelines, APIs, cloud‑based deployments, and automated testing.
• Solid software engineering skills (e.g., Python, version control, CI/CD, cloud platforms).
• Ability to work collaboratively with data scientists, engineers, and product teams.
• Comfortable producing clear, structured technical documentation.
• Experience with LLMs, vector databases, retrieval‑augmented generation, or intelligent search.
• Familiarity with MLOps tooling, containerisation, and cloud‑native environments.
• Exposure to rapid prototyping in Discovery/Alpha phases.

• 25 Days Annual Leave per annum (plus 8 Bank Holidays as standard)
• Health Insurance
• Pension Scheme
• Annual Bonus Scheme
• Annual Salary Review
• Electric Car Scheme

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This range is provided by RedTech Recruitment. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Direct message the job poster from RedTech Recruitment

Machine Learning Research Engineer

A brilliant opportunity for a Machine Learning Research Engineer to work on researching and investigating new concepts for industry-leading, machine-learning software in Cambridge, UK. This unique opportunity is ideally suited to those with a Ph.D. relating to Machine Learning who have a keen interest in Natural Language Processing and Computer Vision and its application to an ever-advancing technical landscape.

Location: Cambridge – remote initially, but office due to return in coming months

Salary: Up to £100,000 depending on experience

Requirements for Machine Learning Research Engineer

• A Ph.D. from a world-leading University in a Computer Science, Physics or Maths with a keen demonstrable interest in Machine Learning / AI
• Excellent academics throughout including a minimum of a 2.1 degree from a leading university, AAB at A-Level
• Published papers
• Good understanding of software engineering concepts
• Ability to code in Python
• Experience working with large data sets (desirable)

Responsibilities for Machine Learning Research Engineer

• Join a small team responsible for investigating the latest research in machine learning algorithms – largely within the NLP and Computer Vision fields
• Make suggestions based on the feasibility of research to help shape future projects and products
• Prototyping research concepts
• Determining output quality, efficiency, and feasibility compared with other techniques

What this offers

• Working for an industry-leading software company who have a fantastic track record of successfully hiring and training graduates
• Highly interesting work researching the next phases of cutting-edge, machine-learning software
• A good remuneration and benefits package

Applications

If you would like to apply for this unique Customer Success Manager opportunity, we would love to hear from you. Please send an up-to-date CV via the relevant link. We’re committed to creating an inclusive and accessible recruitment process. If you require reasonable adjustments for your application or during the review process, please highlight this by emailing (if this email address has been removed by the job-board, full details for contact are available on our website).

Keywords: Python/ Deep Learning / Machine Learning / NLP / Natural Language Processing / Computer Vision / Research / Post-Doc / Ph.D. / DPhil / Computer Science / Mathematics / Physics / Engineering/ Text Analytics / Speech processing / Software Engineer / Research / Researching / Journals / AI / Artificial Intelligence / Machine Vision / Neural Networks / Developer / Algorithm

***

RedTech Recruitment Ltd focus on finding roles for people leaving academia entering industry. Even if the above role isn’t of interest, please visit our website to see our other opportunities.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Information Technology
• Industries Software Development

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We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

This is not a role for someone looking to tune hyperparameters on a well-worn stack. This is a role for someone who wants to take ownership of a statistical model that sits at the heart of a high-growth business. A model that doesn’t support the product it is the product.

At its core, the platform simulates how real people make decisions. It ingests vast amounts of historical transactional data and uses this to build millions of virtual customers with unique preferences. These simulations are then used to answer high-stakes commercial questions for some of the largest companies in the world. What happens if we change this product line, raise this price, shift this promotion, the answers aren’t approximated. They’re modeled, tested and surfaced in real-time.

This role is about taking full ownership of the model that makes this possible. You will lead its evolution, challenge its limits, and shape its next chapters. You will not be handed a roadmap. You will help define it. You will work closely with deeply technical founders to explore what is economically and technically possible, and you will be expected to break down complex ideas into workable solutions for your team.

This is a hands-on leadership role. You’ll be growing and leading a team, but you’ll also be deeply involved in the work experimenting with new techniques, exploring new data sources, and constantly refining the engine under the hood. The function today is lean and highly capable, and you’ll have the chance to shape both the model and the team as it scales.

FULLY REMOTE, ANYWHERE IN EUROPE.

What You’ll Need:

• Deep statistical understanding, particularly in classical methods
• Strong proficiency in Python, including experience with ML frameworks like PyTorch
• Strong grasp of linear algebra and numerical modeling techniques
• Experience training models on large, complex datasets
• A scientific mindset and the ability to question assumptions with rigor
• The ability to communicate complex technical ideas in simple, direct terms
• Curiosity about how people make decisions and a desire to model reality, not just predict outcomes
• Integrity and self-awareness knowing what you know, and being honest about what you don’t
• A proven track record of building things that work, and improving things that didn’t
• Experience building foundational or category-specific models is a plus

If you are looking for a role where you can lead technically, challenge intellectually, and contribute directly to the direction of a product used by some of the most recognizable names in global business, this is that role. The impact is tangible. The complexity is real. And the opportunity to shape something meaningful is right in front of you.

We are an equal opportunities employer and welcome applications from all qualified candidates.

This range is provided by WRK digital. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Direct message the job poster from WRK digital

WRK digital is proud to partner with a fast‑growing technology startup building solutions that combine human expertise and AI agents to automate complex operational workflows. The organisations mission is to help businesses solve real‑world challenges in areas such as trust, safety, and marketplace operations - enabling them to scale efficiently without the need for complex integrations.

Having recently raised over $25M in venture funding from top‑tier investors, the company is operating at significant scale, processing millions of images and videos daily. This is an exciting stage of their journey as they look to expand the platform and capabilities over the coming year and beyond.

We’re shortlisting for an experienced Machine Learning Engineer to design, build, and deliver cutting‑edge AI solutions for customers. You’ll apply your expertise in software engineering and machine learning to transform manual workflows into automated systems powered by AI.

You’ll work closely with customers and internal teams to understand their challenges, develop virtual agents that automate tasks, and build scalable, self‑service tools that empower users to achieve value independently.

• Collaborate with customers to understand workflows and design AI‑driven automation solutions.
• Contribute to the development of our Virtual Agent platform in line with product strategy.
• Ensure AI services maintain high standards of performance, reliability, and scalability.
• Participate in internal ML community, influencing how we implement AI and computer vision technologies.
• Take ownership of customer outcomes and contribute across software engineering, DevOps, and MLOps functions.

We’re looking for a proactive and versatile engineer who thrives in a collaborative environment and enjoys solving meaningful technical challenges. You’ll be comfortable engaging with customers and internal stakeholders, driving technical delivery, and contributing ideas that shape our product roadmap.

• Have strong Python and machine learning engineering skills, with experience applying AI to real‑world problems.
• Can (or want to learn to) build agentic AI systems that automate human processes.
• Understand (or are keen to learn) software deployment using Kubernetes and related infrastructure tools.
• Have strong problem‑solving and project management skills.
• Thrive in a collaborative environment where shared success matters most.
• Are open to occasional travel for company‑wide gatherings (typically three times per year).

• Experience working in a fully remote, international team.
• Previous startup experience.
• Experience building or operating agentic AI systems.
• Familiarity with MLOps practices and tools, CI/CD pipelines (e.g. GitLab CI, Argo CD), and infrastructure‑as‑code tools (e.g. Terraform).
• Knowledge of SQL/NoSQL databases , Kubernetes , and LLMs (Large Language Models).

A small, remote‑first team of passionate technologists dedicated to making the online world safer and fairer. The company’s culture is built on trust, transparency, and self‑leadership - where kind, curious, and ambitious people come together to achieve extraordinary things.

• Mid‑Senior level

• Contract

• Information Technology and Engineering

• Technology, Information and Media and Internet Marketplace Platforms

This range is provided by TechShack. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Direct message the job poster from TechShack

Machine Learning Engineer | Computer Vision, Python, PyTorch | Remote, up to £85k

We’re on the lookout for an experienced Machine Learning Engineer to take ownership of computer vision and imaging projects within a well backed start-up whose mission has real world impact with global reach.

This is a hands-on role where you’ll work across the full ML lifecycle, from research and prototyping through to deployment in production, developing and optimising models that are already having huge benefit to people.

What you’ll be working on

• Building and refining models for image classification, semantic segmentation, keypoint detection, and regression tasks.
• Applying your expertise in Python , PyTorch , and OpenCV to solve real-world imaging challenges.
• Optimising off-the-shelf models with proprietary datasets.
• Removing shadows, adjusting white balance, and improving accuracy in colour-based detections.
• Integrating ML models into mobile applications, supporting cross-platform deployment.

Must-have experience

• Strong background in Computer Vision, Machine Learning, and Deep Learning .
• Commercial experience with Python , PyTorch , and OpenCV in production environments.
• Proven track record delivering practical ML solutions to real-world problems.
• Knowledge of data augmentation, custom architecture design, and traditional CV algorithms.

Nice-to-have experience

• TensorFlow, TFLite, ONNX, and/or React Native.
• Model optimisation for mobile or embedded devices.

Location: remote (occasional travel)

Salary: up to £80k

Machine Learning Engineer | Computer Vision, Python, PyTorch | Remote, up to £85k

• Seniority level Mid-Senior level

• Employment type Full-time

• Industries Staffing and Recruiting

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We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

At VEED, we're a generative AI company building the AI video creation platform made for social. It's where millions of marketers imagine and generate branded videos, in minutes.

We're powered by frontier models and VEED Fabric, our own image-to-video model. Our APIs also run AI video inside leading creative products.

We're 150 people, $50M ARR, backed by Sequoia. We're hiring. Come help us make AI videos worth posting.

We’re a distributed team with hubs in London, Barcelona, and Amsterdam. Our ML team is mainly in London, so we’re open to candidates already based there, willing to relocate, or working remotely within 4–5 hours of London time (GMT).

You’ll be joining a team of experienced ML engineers and researchers (ex‑Spiritme, ex‑Pipio) working on scaling our generative video models. The team’s goal is to turn breakthroughs in research into fast, reliable, and accessible systems that power VEED’s future.

We’ve just released Fabric — a DiT‑based speech‑to‑video model that turns spoken words into coherent, human‑centric video. We’re now building the next version and a suite of video generation & editing models focused on controllability, quality, and speed.

You will work across the full model lifecycle for Fabric 2 and related models — from exploring new research and approaches to training and fine‑tuning models. Your work will turn ideas from research into features creators use every day.

• Training and fine‑tuning models to create best‑in‑class generation and editing people‑centric video models
• Running experiments to boost visual quality, lip sync, and controllability
• Defining clear metrics and evaluation loops and using them to guide decisions
• Work closely with infra and performance engs and collaborate with the product team

• Model/Training: PyTorch, diffusion/DiT, diffusers, transformers, torch.compile, torch.distributed, torchrun, Accelerate, PEFT/LoRA.
• Serving: Optimised PyTorch/TensorRT runtimes in GPU‑backed Python services; experiment tracking, A/B testing, eval pipelines.
• Hardware: Access to latest‑gen NVIDIA GPUs H100 and B200 for training and inference.

• Experience training diffusion or transformer models for video, vision, or audio with results in production or papers
• You care about shipping useful ML, not just benchmarks. You enjoy owning problems and collaborating across teams.
• Strong data and experimentation skills and confidence designing practical metrics
• Comfortable writing clean Python and reviewing research with a pragmatic eye
• Clear communicator who can explain trade offs and make sound decisions
• Motivated by impact and by making generative video better, faster, and more accessible

• Monthly subsidy programme: Different people have different needs and therefore value different benefits. Providing this as a subsidy allows you to have the greatest flexibility to apply to what you value most – whether that be to offset the cost of office furniture, childcare, gym membership, etc.
• Unlimited paid holidays: We value that you get more time with your family and friends.
• Home office set‑up: We have an IT Equipment program to make sure your home office is adequately set up with IT equipment including a laptop, monitors, headsets/earbuds, keyboards and more!
• Mental health benefit : We’ve partnered with Spill to provide all our employees with confidential mental health support.

This role is open at IC3 or IC4 level depending on experience. The salary range across both levels is £ 76,000 - £ 119,400 gross per year. The level and offer are determined by the scope of the role and your experience and skills assessed during the process. We do not ask about current or previous salary at any stage.

We think what matters is people. After all, a company is just a group of people. We don’t care about where you’re from, what school you went to or where you worked before. If you’ve done exceptional work, we want to hear from you. Join us on our mission to make creative storytelling with video simple and accessible for everyone.

At VEED we are hybrid, enabling teams and individuals to design their day and integrate work and life. We are currently hiring in 3 core hubs: London, Amsterdam and Barcelona and 2 additional hubs for sales and support roles only (USA for sales and the Philippines for support). Please refer to the individual job posts for more details.