486 Gen AI Product Manager jobs in the United Kingdom

AI Strategy & Value Manager - London

London, London The Automobile Association

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Company description

Location: London (hybrid working 3 office days per week)

Employment Type: Permanent, full time

Additional Benefits: Annual Bonus, Cash-Car Allowance & Private Medical Insurance

We’re Supercharged – And This Is Just the Beginning.

The AA is entering a bold new era with AI at the wheel. We’re building a dedicated AI capability, and we’re looking for passionate pioneers to shape what comes next.

We’ve recently replatformed onto a modern data stack, unlocking access to one of the UK’s richest datasets - from detailed vehicle fault histories to real-time connected car telemetry. Now, we’re turning that data into intelligent systems that keep Britain moving.

As AI Strategy & Value Manager , you’ll define and drive our strategic roadmap of high-impact AI solutions, ranging from predictive models that anticipate breakdowns, to intelligent patrol routing, and agentic AI that transforms customer service.

This is your chance to be part of something new. Something exciting. Something that matters. Ready to join the AA+AI journey?

#LI-Hybrid

This is the job

We’re on a mission to harness the power of AI to transform how the AA delivers value, and we’re looking for an AI Strategy & Value Manager to lead the charge. In this newly created role, you’ll sit at the intersection of strategy, innovation, and commercial impact, identifying high value AI opportunities, shaping enterprise roadmaps, and ensuring every initiative delivers measurable outcomes. You’ll work closely with product, finance, and technical teams to turn emerging AI capabilities into real world solutions that enhance member experiences and drive business performance.

This is more than a strategy role. It’s a chance to influence the future of AI at the AA from the ground up. You’ll lead horizon scanning efforts, build compelling business cases, and design frameworks to track value from concept to implementation. If you’re commercially minded, fluent in AI concepts, and excited by the opportunity to shape how a trusted brand embraces intelligent technologies, we’d love to hear from you.

What will I be doing?
  • Identify high value AI opportunities and shape our AI roadmap in partnership with product and business leaders.
  • Lead horizon scanning initiatives to uncover emerging AI trends and technologies that could transform our business.
  • Build robust business cases and investment frameworks to guide strategic AI decisions.
  • Design and implement a value realisation framework to track impact from idea to execution.
  • Communicate complex AI concepts and strategies clearly to senior stakeholders.
  • Evaluate and recommend emerging vendors, tools, and platforms.
What do I need?
  • Proven experience within strategy consulting, corporate venture, or product strategy roles - ideally with exposure to AI or data-driven initiatives.
  • Strong business problem solving skills and financial modelling expertise.
  • A solid understanding of AI technologies and their business applications.
  • Confidence in engaging with both technical teams and senior business leaders.
  • Excellent communication skills - written, verbal, and visual.
Additional information

We’re always looking to recognise and reward our employees for the work they do. As a valued member of The AA team, you’ll have access to a range of benefits including:

  • 25 days annual leave plus bank holidays + holiday buying scheme
  • Worksave pension scheme with up to 7% employer contribution
  • Free AA breakdown membership from Day 1 plus 50% discount for family and friends
  • Discounts on AA products including car and home insurance
  • Employee discount scheme that gives you access to a car salary sacrifice scheme plus great discounts on healthcare, shopping, holidays and more
  • Company funded life assurance
  • Diverse learning and development opportunities to support you to progress in your career
  • Dedicated Employee Assistance Programme and a 24/7 remote GP service for you and your family

Plus, so much more!

We’re an equal opportunities employer and welcome applications from everyone. The AA values diversity and the difference this brings to our culture and our customers. We actively seek people from diverse backgrounds to join us and become part of an inclusive company where you can be yourself, be empowered to be your best and feel like you truly belong. We have five communities to bring together people with shared characteristics and backgrounds and drive positive change.

#LI-HH

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Senior Specialist - AI Strategy & Innovation

IO Global

Posted 28 days ago

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Permanent

Who are we?

IOG, is a technology company focused on Blockchain research and development. We are renowned for our scientific approach to blockchain development, emphasizing peer-reviewed research and formal methods to ensure security, scalability, and sustainability. Our projects include decentralized finance (DeFi), governance, and identity management, aiming to advance the capabilities and adoption of blockchain technology globally.

We invest in the unknown, applying our curiosity and desire for positive change to everything we do. By fueling creativity, innovation, and progress within our teams, our products and services are designed for people to be fearless, to be changemakers.

What the role involves:

The "Big AI" program within our AI Group tackles strategic, complex, and often ambiguous problems that are top-of-mind for our executive leadership. These initiatives involve multi-phase or long-term projects, significant data and computational resources, and aim to shape the future direction of IOG strategies and products.

As a Senior AI Specialist focusing on Big AI, you will be instrumental in designing and implementing custom AI solutions to address these critical business challenges. You will work with local and external models, engage in sophisticated prompt optimization, workflow and AI agent design, and help formalize business workflows for AI to understand, reason about, and optimize. This role requires a blend of deep technical expertise, strategic thinking, and the ability to translate complex business processes or tasks into effective AI agent architectures/workflows. Collaboration with UI/UX teams or conceptualizing user interactions for AI tools may be involved to ensure the usability of developed solutions.

Strategic Problem Framing & Stakeholder Engagement

  • Collaborate closely with executive stakeholders and subject matter experts to define, scope, and understand complex strategic questions and business challenges suitable for Big AI intervention.
  • Communicate complex AI methodologies and findings in a clear, concise, and compelling manner to diverse audiences, including executive leadership and non-technical stakeholders.

AI & Machine Learning Solution Development

  • Design, develop, and implement custom AI and machine learning models (including LLMs, deep learning, and NLP) to analyze large-scale datasets and extract actionable insights that inform strategic decisions (e.g., optimizing product strategy, enhancing operational efficiency).
  • Lead the technical approach for Big AI projects, including prompt engineering, designing AI agents, and defining evaluation milestones and analytical checkpoints.
  • Conduct in-depth exploratory data analysis and leverage advanced statistical techniques to uncover patterns, trends, and opportunities relevant to IOG’s strategic interests.
  • Develop and implement frameworks for evaluating the performance and business impact of Big AI solutions, aiming for significant value creation (e.g., cost savings, risk mitigation, new opportunities, improvements in key performance indicators).

AI Agent Architecture & Workflow Optimization

  • Pioneer methods for formalizing business workflows (e.g., representing how customer support queries are resolved) in a way that allows AI models (particularly LLMs) to judge, reason about, and propose optimizations for these processes.

Cross-Functional Alignment & Collaboration

  • Work with the AI Group to implement and conduct retrospectives on Big AI projects, contributing to a cycle of continuous learning and improvement.
  • Collaborate with internal teams (e.g., Research, ICT, Legal) and external partners to ensure the successful deployment and ethical use of AI solutions.

Alignment with SIO & BOS

  • Collaborate with the SIO and BOS Design Team to ensure AI initiatives are strategically aligned, measurable, and effectively integrated into business operations.
    • Embed AI-driven insights into enterprise planning and decision-making processes (SIO).
    • Contribute to the development of performance metrics to assess the impact of AI solutions (SIO).
    • Support the design and optimization of business workflows that align with BOS frameworks and governance.

Innovation & Best Practices

  • Stay at the forefront of advancements in AI, machine learning, and related fields, and champion the adoption of cutting-edge techniques and best practices within the AI Group.

Requirements

Who you are:

  • Master’s degree or PhD in a quantitative or technical field (e.g., Computer Science, Artificial Intelligence, Machine Learning, Statistics, Mathematics, Engineering), or equivalent practical experience.
  • 10+ years of hands-on experience in applied data science, AI research, or machine learning, with a portfolio of projects demonstrating impact on strategic decision-making or complex problem-solving.
  • Strong experience with Large Language Models (LLMs), including prompt engineering, fine-tuning, and understanding their capabilities and limitations.
  • Experience with LLM deployment, monitoring, and quality assurance methodologies (e.g., evaluation frameworks, LLM-as-judge, red teaming, A/B testing for LLM applications).
  • Demonstrable experience or strong theoretical understanding of designing and implementing AI agents or complex, multi-step AI workflows.
  • Proven track record of developing and deploying sophisticated AI/ML models that have delivered measurable business value.
  • Significant experience and expertise in statistical analysis, machine learning (e.g., supervised/unsupervised learning, deep learning, reinforcement learning), and AI model development.
  • Proven ability to translate ambiguous and complex business problems into well-defined AI/ML projects with clear objectives and deliverables.
  • Expert-level proficiency in Python and extensive experience with core data science and machine learning libraries/frameworks (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, Hugging Face Transformers).
  • Outstanding analytical, problem-solving, and critical thinking skills, with a knack for dissecting complex issues and devising innovative solutions.
  • Excellent communication, presentation, and interpersonal skills, with the ability to articulate sophisticated technical concepts to non-technical audiences and influence senior stakeholders.
  • Demonstrated leadership qualities, including the ability to take ownership of complex projects and drive them to completion.
  • A highly collaborative mindset, with experience working effectively in cross-functional teams.
  • Self-motivated, proactive, and intellectually curious, with a passion for continuous learning and applying AI to solve real-world strategic challenges.
  • Ability to work independently and effectively in a remote, globally distributed team environment.

Benefits

  • Remote work
  • Laptop reimbursement
  • New starter package to buy hardware essentials (headphones, monitor, etc)
  • Learning & Development opportunities
  • Competitive PTO 

At IOG, we value diversity and always treat all employees and job applicants based on merit, qualifications, competence, and talent. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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Head of Generative AI Strategy & Implementation - Academic (6215) - Cambridge

Cambridge, Eastern Cambridge University Press and Assessment

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Job Title: Head of Generative AI Strategy & Implementation - Academic

Salary: £66,900 - £89,550

Location: Cambridge/Hybrid

Contract: Permanent

 

We're seeking a visionary and strategically minded leader to join our Academic publishing technology team as Head of Generative AI Strategy & Implementation. In this pivotal role, you will shape and lead the integration of Generative AI across our Academic business, helping us to reimagine the future of scholarly publishing.

We are Cambridge University Press & Assessment, a world-leading academic publisher and assessment organisation and a proud part of the University of Cambridge.

 

About the role

You'll work at the intersection of technology, research, and publishing, defining how Generative AI can unlock new value, improve quality,.

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Machine Learning Engineer

Littlemore, South East £65000 - £75000 Annually WR Engineering

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permanent

Role: Machine Learning Operations Engineer
Location: Oxfordshire
Salary: 65,000 - 75,000

This is an exciting opportunity to join a world leading company specialising in motion capture and tracking systems, with products used globally in the entertainment, engineering, and life sciences sectors. My Client are looking for a talented Machine Learning Operations Engineer to support and enhance their cutting edge machine learning capabilities.

The Role

You will join a collaborative Research and Development team based in Oxford, contributing to the development and maintenance of a modern ML operations stack. This includes data acquisition pipelines, data management, and machine learning model training infrastructure. The environment includes both self-managed on premise systems and cloud-based infrastructure, primarily using AWS.

You will have the opportunity to influence the technical direction of the ML Ops team, propose new areas for development, and potentially lead your own projects.

This is a hybrid role combining remote and on site working. There is no expectation to be available outside core business hours.

Key Responsibilities

  • Maintain and improve ML Ops infrastructure
  • Manage on premise Kubernetes clusters and ML pipelines
  • Integrate ML toolkits into operational workflows
  • Collaborate with ML developers to streamline workflows
  • Suggest and implement technical improvements and new tools

Required Skills and Experience

  • Academic background (research Masters level) or industry experience in a relevant field
  • Strong experience managing on premise Kubernetes clusters
  • Deep knowledge of Kubeflow or similar systems such as MLflow
  • Proficient in Python and experienced with Linux systems
  • Familiar with AWS services such as Cognito, S3, EC2 and Lambda
  • Experience working with ML frameworks such as PyTorch or Lightning
  • Capable of designing and delivering ML Ops solutions across various platforms

Desirable Skills

  • Background in DevOps with experience in CI systems such as Jenkins
  • Familiarity with infrastructure as code tools such as Ansible
  • Interest in human motion capture, sports tech, or animation
  • Exposure to C++ is a bonus

Benefits

  • 65,000 - 75,000 (DOE)
  • 10 percent company pension
  • 25 days annual leave plus bank holidays
  • Life assurance
  • Private medical insurance including dental and optical
  • Permanent health insurance
  • Cycle to work scheme
  • Free on site parking

WR Engineering are the #1 recruitment partner for engineering, manufacturing & technical sales jobs. We recruit for permanent and contract jobs UK wide.

WR is acting as an Employment Agency in relation to this vacancy.

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Machine Learning Engineer

London, London Qualient Technology Solutions UK Limited

Posted 2 days ago

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contract

Job Description:

We are seeking an experienced Machine Learning Engineer with expertise in big programmes and has contributed to the delivery of complex business cloud solutions. The ideal candidate will have a strong background in Machine Learning engineering and an expert in operationalising models in the Databricks MLFlow environment (chosen MLOps Platform).

Responsibilities:

  • Collaborate with Data Scientists and operationalize the model with auditing enabled, ensure the run can be reproduced if needed.
  • li>Implement Databricks best practices in building and maintaining economic modelling (Machine Learning) pipelines.
  • Ensure the models are modular. Ensure the model is source-controlled with agreed release numbering.
  • Extract any hard-coded elements and parameterise them so that the model execution can be controlled through input parameters.
  • Ensure the model input parameters are version-controlled and logged to the model execution runs for auditability.
  • Ensure model metrics are logged to the model runs.
  • Ensure model logging, monitoring, and alerting to make sure any failure points are captured, monitored and alerted for support team to investigate or re-run of the model involves running of multiple experiments and choosing the best model (champion challenger) based on the accuracy/error rate of each experiment, ensure this is done in an automated manner.
  • li>Ensure the model is triggered to run as per the defined schedule. If the process involves executing multiple models feeding each other to produce the final business outcome, orchestrate them to run based on the defined dependencies.
  • Define and Maintain the ML Frameworks (Python, R & MATLAB templates) with any common reusable code that might emerge as part of model developments/operationalisation for future
  • models to benefit.
  • Where applicable, capture data drift, concept drift, model performance degradation signals and ensure model retrain.
  • Implement CI/CD pipelines for ML models and automate the deployment.
  • Maintain relevant documentation.

Requirements:

  • Bachelor's degree in a relevant field.
  • Minimum of 5 years of experience as a business analyst, with a focus on capturing and documenting business requirements and business processes.
  • Strong understanding of banking and financial industry practices and regulations.
  • Solid knowledge of Data Management process, data analysis and modelling techniques.
  • Experience in monetary policy analysis (nice to have)
  • Experience in time series database analysis
  • Familiarity with business intelligence tools and concepts.
  • Strong analytical and problem-solving skills.
  • Experience in managing software development lifecycles within Agile frameworks to ensure timely and high-quality delivery.
  • Excellent communication and collaboration skills.
  • Ability to adapt to changing requirements and priorities in a fast-paced environment.

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Machine Learning Engineer

Cambridgeshire, Eastern £60000 - £90000 Annually ECM Selection (Holdings) Limited

Posted 18 days ago

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permanent

Spearheading the integration of machine learning into cutting-edge electronics

This innovative team of engineers and scientists are using machine learning tightly integrated with modern electronics to create new classes of products and radically alter the shape, performance and effectiveness of existing ones. As industry goes through a machine learning revolution you can be here, leading the charge.

You will work across the whole machine learning development lifecycle from initial concepts through data collection, cleaning and preparation to prototyping, testing and evaluation. With your models integrated with leading edge electronics, the final products are fully functional prototypes and demonstrator units manufactured at small scale. What’s special about this group is they do this dozens of times per year working across multiple domains. You can be working on computer vision for one project and generative models for the next. 

Requirements:

  • Strong knowledge of Python and its use in machine learning including hands-on experience building products with modern ML frameworks such as TensorFlow and PyTorch
  • li>Broad knowledge of machine learning techniques across multiple domains and the ability to transition into new domains quickly
  • A top degree in a STEM subject
  • UK national

While not required, experience deploying machine learning onto a range of hardware from resource constrained embedded systems through to edge computing is desirable. As is any knowledge of GPU programming languages and frameworks (CUDA, ROCm, etc).

Your future colleagues will be similarly highly skilled, with experience across industry and the drive to innovate. You will find yourself in a low-management work environment that encourages teamwork and respect for individuals’ expertise. Benefits include private medical insurance, generous pension scheme and access to local social and sports clubs. Please note, you are required to be onsite full-time for this position.

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 (phone number removed) or email your CV. We will always ask before forwarding your CV.

Please apply (quoting ref: CV27413 ) 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.

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Machine Learning Scientist

Belfast, Northern Ireland Proofpoint

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About Us:
We are the leader in human-centric cybersecurity. Half a million customers, including 87 of the Fortune 100, rely on Proofpoint to protect their organizations. We're driven by a mission to stay ahead of bad actors and safeguard the digital world. Join us in our pursuit to defend data and protect people.
How We Work:
At Proofpoint, you'll be part of a global team that breaks barriers to redefine cybersecurity, guided by our BRAVE core values: Bold in how we dream and innovate, Responsive to feedback, challenges, and opportunities, Accountable for results and best-in-class outcomes, Visionary in future-focused problem-solving, Exceptional in execution and impact.
Corporate Overview
Proofpoint is a leading cybersecurity company protecting organizations' greatest assets and biggest risks: vulnerabilities in people. With an integrated suite of cloud-based solutions, Proofpoint helps companies around the world stop targeted threats, safeguard their data, and make their users more resilient against cyber-attacks. Leading organizations of all sizes, including more than half of the Fortune 1000, rely on Proofpoint for people-centric security and compliance solutions mitigating their most critical risks across email, the cloud, social media, and the web.
We are singularly devoted to helping our customers protect their greatest assets and biggest security risk: their people. That's why we're a leader in next-generation cybersecurity.
Protection Starts with People. Proofpoint.
**The Role**
Proofpoint is looking for a Machine Learning Scientist to join the Algo team within the Tessian Business Unit. In this role, your key responsibility will be to analyse data, build ML models and improve algorithms at the core of our email threat detection engine that protects some of the largest businesses in the world. You will collaborate with Product and Engineering teams to identify and solve the most impactful problems applying state-of-the-art machine learning tools and techniques. You'll be surrounded by incredibly smart, talented and friendly colleagues. Engineers at Tessian love to learn from each other and pull together as a team to succeed.
*This is a Hybrid role; Cork or Belfast.
**Your day-to-day**
-Wrangle and draw meaningful insights from massive amounts of unstructured textual data using the latest tools and technologies like Spark, Iceberg, Athena, AWS SageMaker
-Apply unsupervised learning algorithms across billions of email interactions to identify emerging threat patterns
-Work with state-of-the-art machine learning models and techniques like encoder-decoder transformers, LLMs, anomaly detection as well as classical ML models to solve a multifaceted problem
-Engineer new features, train and deploy models to production using AWS SageMaker as the MLOps platform
-Adopt a data-driven approach to identify gaps in our detection algorithms and propose improvements to our models and algorithms
-Promote and drive ML best practices and cultivate an environment of experimentation and learning
-Stay up to date with the latest advancements in machine learning, AI technologies, and incorporate them into our solutions where applicable
**What you bring to the team**
Essential
- Proficiency in Python with the ability to write clean, well-structured, and maintainable code for data analysis, modeling and experimentation
- Experience contributing to multiple highly impactful machine learning projects with proven results
-Hands-on experience in the NLP domain involving training, fine-tuning and productionising transformer-based models for text classification / text-embeddings (experience with LLMs, generative AI is a plus)
-Experience monitoring and maintaining performance of models over time in production considering model/data drifts In-depth experience with one or more deep neural network frameworks (e.g. PyTorch, Tensorflow, JAX)
-A creative mindset, propensity to care deeply about the impact their team has and to encourage novel ways of critical thinking in their team
Good to have
-Conceptual understanding of Graph Neural Networks and experience applying GNNs to solve real world problem statements will be a plus
-Experience working on large imbalanced datasets, evaluating and selecting models that work well in production on imbalanced real-world data
Why Proofpoint
Protecting people is at the heart of our award-winning lineup of cybersecurity solutions, and the people who work here are the key to our success. We're a customer-focused and a driven-to-win organization with leading-edge products. We are an inclusive, diverse, multinational company that believes in culture fit, but more importantly 'culture-add', and we strongly encourage people from all walks of life to apply.
We believe in hiring the best and the brightest to help cultivate our culture of collaboration and appreciation. Apply today and explore your future at Proofpoint! #LifeAtProofpoint
#LI-Hybrid
Why Proofpoint? At Proofpoint, we believe that an exceptional career experience includes a comprehensive compensation and benefits package. Here are just a few reasons you'll love working with us:
- Competitive compensation
- Comprehensive benefits
- Learning & Development: We are committed to the growth and development of our team members, offering a range of programs including leadership and professional development workshops, stretch project assignments, and mentoring opportunities to help employees reach their full potential.
- Flexible work environment: (Remote options, hybrid schedules, flexible hours, etc.).
- Annual wellness and community outreach days
- Always on recognition for your contributions
- Global collaboration and networking opportunities
Our Culture:
Our culture is rooted in values that inspire belonging, empower purpose and drive success-every day, for everyone. We encourage applications from individuals of all backgrounds, experiences, and perspectives. If you need accommodation during the application or interview process, please reach out to . How to Apply Interested? Submit your application here . We can't wait to hear from you!
Proofpoint has been honored with six Best Places to Work Awards in 2024 by workplace culture leader Comparably, including Best Company Career Growth, Best Company Outlook, Best Global Culture, Best Engineering Teams, Best Sales Teams, and Best HR Teams.
We are the leader in human-centric cybersecurity. Half a million customers, including 87 of the Fortune 100, rely on Proofpoint to protect their organizations. We're driven by a mission to stay ahead of bad actors and safeguard the digital world. Join us in our pursuit to defend data and protect people.
Our BRAVE Values:
At Proofpoint, we are BRAVE in everything we do, and our values aren't just words-they shape how we work, collaborate, and grow.
We seek people who are bold enough to challenge the status quo, responsive in the face of ever-evolving threats, and accountable for delivering real impact.
We value those with a visionary mindset who anticipate what's next and push cybersecurity forward, and we celebrate exceptional execution that ensures we continue to defend data and protect people.
Proofpoint is an equal opportunity employer, we hire without consideration to race, religion, creed, color, national origin, age, gender, sexual orientation, marital status, veteran status or disability.
Find your network, your allies, and your biggest fans. We know that work is simply better when you're surrounded by people who inspire you-who share ideas, cheer you on, and genuinely want to see you succeed. That's why we offer social circles, sponsored networks, and connection points across teams and time zones-to help you find your people, build your community, and thrive together.
This isn't just a job-it's a mission to protect people and defend data in a world that never slows down. We're building the future of human-centric cybersecurity, and that future belongs to all of us. We take ownership, move fast, and hold ourselves accountable-because that's what it takes to stay ahead. And we do it together, winning as one.
Be empowered to reach your full potential through meaningful challenges and personalized support-designed around you and your goals. Whether you're growing as a leader or leveling up from great to exceptional as an individual contributor, we're here to help you get there.
Proofpoint is an equal opportunity employer, we hire without consideration to race, religion, creed, color, national origin, age, gender, sexual orientation, marital status, veteran status or disability.
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About the latest Gen ai product manager Jobs in United Kingdom !

Machine Learning Engineer

SE11 5JH permutable technologies limited

Posted 1 day ago

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permanent
Job description

At Permutable AI, were building intelligent systems to automate market analysis using advanced NLP and multi-LLM frameworks. Our goal is to dramatically accelerate how financial information is processed, understood, and acted on, enabling faster, smarter decisions for financial analysts. As a small, ambitious start-up, youll work directly with our founder and a core team of talented.


WHJS1_UKTJ

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Machine Learning Engineer

Birmingham, West Midlands Talent Hero Ltd

Posted 1 day ago

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contract

Machine Learning Engineer Remote (UK Only | No Visa Sponsorship)
Work on AI Products for US Tech Companies

Talent Hero helps UK-based professionals land remote roles with innovative US businesses. We're hiring Machine Learning Engineers to build and deploy production-grade ML systems that solve real-world problems at scale.

If you're experienced with model design, training, and deployment and want .


WHJS1_UKTJ

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Machine Learning Engineer

Manchester, North West £59000 - £62000 annum Talent Hero

Posted 3 days ago

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Machine Learning Engineer – Remote (UK Only | No Visa Sponsorship)
Work on AI Products for US Tech Companies

Talent Hero helps UK-based professionals land remote roles with innovative US businesses. We're hiring Machine Learning Engineers to build and deploy production-grade ML systems that solve real-world problems at scale.

If you're experienced with model design, training, and deployment — and want to work globally from home — we want to hear from you.

What You’ll Do:

  • Build and deploy machine learning models to address complex business needs
  • Develop scalable data pipelines and feedback loops for model training
  • Integrate ML into production systems alongside US product and data teams
  • Optimise model performance for accuracy, speed, and cost
  • Run experiments, A/B tests, and validate approaches statistically
  • Use tools like Python, TensorFlow, PyTorch, Scikit-learn, MLflow, SQL, Docker, AWS/GCP

UK-based applicants only – no visa sponsorship available. Apply once – we’ll match your profile to the right opportunities.

Requirements

  • Bachelor’s degree in Computer Science, AI, Machine Learning, or related field
  • 1+ year of experience in a Machine Learning Engineer or similar role
  • Strong Python skills and ML framework knowledge (TensorFlow, PyTorch, etc.)
  • Hands-on experience deploying models into production environments
  • Solid grasp of algorithms, data structures, and statistical modelling
  • Familiarity with cloud platforms (AWS, GCP, Azure)
  • Bonus: Experience with NLP, computer vision, recommendation systems

Benefits

  • 100% remote – UK-based
  • Work with cutting-edge US AI teams
  • Access to multiple roles with one application
  • Fast, free hiring process
  • Some roles offer flexible hours around core US working times
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