data engineer

data scientist

machine learning engineer

senior data scientist

senior ai engineer

machine learning researcher

Frontier Resourcing

<div><div>Principal Data Scientist &amp; Machine Learning Researcher
</div><div>Gloucester | London | Manchester

Working with a leading National Security and Cyber organisation, you will help develop advanced AI and machine learning solutions that support critical national security missions.

Operating within a mature Agile environment, you'll collaborate closely with customers, engineers, researchers and data scientists to solve complex real-world challenges using cutting-edge AI, machine learning and data science techniques.

We have opportunities at all levels from Associate, Senior and Principal levels. Roles can be based in Gloucester, Manchester or London, with hybrid working available (typically 3 days per week on-site).

<ul><li>Due to the nature of work in National Infrastructure, candidates must hold an active eDV (enhanced DV) UK Security Clearance.
</li></ul>
The Opportunity
As a Senior Data Scientist &amp; Machine Learning Researcher, you will play a key role in the technical leadership, design and delivery of AI and machine learning projects from concept through to deployment.

You'll work within a specialist team of Data Science, AI and Machine Learning experts, driving innovative research, developing advanced solutions and mentoring colleagues across a range of customer and internal R&amp;D programmes.

This position offers the opportunity to contribute to genuinely challenging and impactful projects while helping shape future AI capabilities within the national security domain.

Key Responsibilities
<ul><li>Design, develop and deliver complex machine learning and data science solutions with a high degree of autonomy.
</li><li>Lead technical investigations, research activities and AI/ML development across customer and internal projects.
</li><li>Identify innovative approaches to solving complex technical challenges and contribute to future research directions.
</li><li>Provide technical leadership within project teams and support successful project delivery.
</li><li>Collaborate with multidisciplinary teams, stakeholders and customers to define requirements and develop effective technical solutions.
</li><li>Mentor and support junior team members, helping to develop technical capability across the wider team.
</li><li>Communicate complex technical concepts clearly to both technical and non-technical audiences.
</li>
</ul>Essential Skills &amp; Experience
<ul><li>Degree (BSc or above) in Data Science, Machine Learning, Computer Science, Mathematics or a related discipline.
</li><li>Strong Python development experience, including machine learning frameworks such as Hugging Face, TensorFlow and PyTorch.
</li><li>Proven experience delivering machine learning solutions within commercial, research or government environments.
</li><li>Strong understanding of modern AI/ML techniques across areas such as Generative AI, Large Language Models (LLMs), Natural Language Processing (NLP) and Computer Vision.
</li><li>Experience training, fine-tuning and evaluating machine learning and AI models.
</li><li>Ability to undertake technical research and apply findings to real-world challenges.
</li><li>Experience producing high-quality technical documentation, reports or research publications.
</li><li>Previous experience mentoring team members and providing technical leadership.
</li>
</ul>Desirable Skills &amp; Experience
<ul><li>MSc or PhD with a strong research background.
</li><li>Experience developing and maintaining robust ML pipelines and MLOps practices.
</li><li>Familiarity with version control, containerisation and environment management tools, including Git and Docker.
</li><li>Experience working within Linux environments and using command-line tooling.
</li><li>Experience deploying and scaling AI/ML solutions into production environments.
</li><li>Cloud platform experience, ideally AWS, although Azure or GCP experience is also valuable.
</li><li>Published research in peer-reviewed journals or conferences.
</li><li>Experience writing technical proposals, bids or research funding submissions.
</li>
</ul>What's on Offer
<ul><li>Opportunity to work on highly complex and meaningful national security challenges.
</li><li>Exposure to cutting-edge AI, Machine Learning and Data Science projects.
</li><li>Collaborative environment with experienced researchers, engineers and technical specialists.
</li><li>Clear opportunities for technical development, leadership and career progression.
</li><li>Hybrid working with locations in Gloucester, Manchester or London.
</li>
</ul>Benefits:
<ul><li>Competitive salary and excellent benefits
</li><li>eDV bonus on to of salary and annual bonus
</li><li>Company bonus scheme
</li><li>Contributory Pension Scheme (up to 10.5% company contribution)
</li><li>6 times salary &lsquo;Life Assurance&rsquo; with pension
</li><li>25 days holiday (increasing with service) + statutory public holidays, plus opportunity to buy and sell up to 5 days</li></ul></div></div>

Principal Data Scientist and Machine Learning Researcher (eDV)

Latent Labs

<div>
 The Opportunity
 
 
 We are looking for a highly skilled machine learning researcher with significant experience in generative modeling. You will join an interdisciplinary team of machine learners, protein engineers and biologists, jointly working to change the way that we control biology and cure diseases. In your role you will architect novel generative models with the goal of designing new proteins that are functional in wet lab assays.
 
 
 
 Who You Are
 
 
 
 <ul>
 <li>
 You are a strong ML researcher with experience in generative modeling. You have led or worked on notable machine learning projects, as documented by your contributions to widely used open source libraries, significant product launches or high impact publications, e.g. at NeurIPS, ICML, ICLR or Nature venues. You have a proven track record of deep expertise in generative modeling.
 </li>
 <li>
 You are a skillful ML developer. You write ML code that is robust, tested and easy to maintain. You have experience using version control and code review systems. You are a fast prototyper and hacker who can also write beautiful production code. You have experience running training and inference on cloud hardware, parallelizing data and models across accelerators.
 </li>
 <li>
 You are a data engineer. You have experience building ML data pipelines for the training and evaluation of deep learning models. You are able to analyze the raw data, construct appropriate dataset splits and build pipelines that perform and scale.
 </li>
 <li>
 You are passionate about model performance. You have an intricate understanding of how ML libraries interplay with hardware and data and love to optimize deep learning models for training / inference speed. You have a deep knowledge of best principles and tricks in architecting deep learning models and use it to optimize how they perform on validation metrics.
 </li>
 <li>
 You are mission driven and curious. You are passionate about making a positive impact on the world, whether it's for patients, customers or beyond. You are motivated by the end goal and are flexible in adapting to different approaches and methodologies. You are curious about problems, however small or big they appear. You thrive in a dynamic environment. You work well in a fast-paced setting where goals must be achieved efficiently and urgently.
 
 
 </li>
 </ul>
 
 What Sets You Apart
 
 
 
 <ul>
 <li>
 You have experience in computational biology or protein design. You have worked on ML-driven projects in biology.
 </li>
 <li>
 You have a natural science background. You are academically trained in physics, biology, chemistry or other related fields.
 
 
 </li>
 </ul>
 
 Your Responsibilities
 
 
 
 <ul>
 <li>
 Build machine learning models that work in the physical world [~90% of your time]:
 </li>
 <ul>
 <li>
 Contribute to a careful curation of our training and evaluation data.
 </li>
 <li>
 Propose and build ML evaluation metrics that align with real world success and company goals.
 </li>
 <li>
 Quickly prototype generative models against our lead metrics and perform deep analyses of improvements.
 </li>
 <li>
 Collaborate in a joint codebase with other research scientists, engineers and protein designers, maintaining highest code standards.
 </li>
 <li>
 Contribute to the maintenance of our compute and ML development infrastructure.
 </li>
 <li>
 In collaboration with the bio team, plan wet lab testing campaigns and carry out model inference against biological targets to enable their testing in the wet lab.
 </li>
 <li>
 Quickly learn from wet lab results and feedback data to our models.
 </li>
 </ul>
 <li>
 Self development [~10% of your time]:
 </li>
 <ul>
 <li>
 Stay on top of the latest developments in ML.
 </li>
 <li>
 Gain a strong working understanding of protein and cell biology.
 </li>
 <li>
 Participate in knowledge sharing, e.g. organize and present at our internal reading group.
 </li>
 <li>
 Attend and present at conferences.
 
 </li>
 </ul>
 </ul>
 
 Apply
 
 
 
 We offer strongly competitive compensation and benefits packages, including:
 
 
 <ul>
 <li>
 Private health insurance
 </li>
 <li>
 Pension/401(K) contributions
 </li>
 <li>
 Generous leave policies (including gender neutral parental leave)
 </li>
 <li>
 Hybrid working
 </li>
 <li>
 Travel opportunities and more
 
 
 </li>
 </ul>
 We also offer a stimulating work environment, and the opportunity to shape the future of synthetic biology through the application of breakthrough generative models.
 
 
 We welcome applicants from all backgrounds and we are committed to building a team that represents a variety of backgrounds, perspectives, and skills.
 
 
</div>

Machine Learning Scientist

American Express

<div>Credit and Fraud Risk (CFR) is a global function, responsible for making the right credit and fraud risk decisions that uphold operational excellence, drive growth, and accelerate innovation across American Express. CFR combines technology and infrastructure with new computing techniques to make better risk decisions and provide real-time customer communications and fraud servicing.
AI Labs seeks an AI Researcher to contribute to advanced research that will power credit, fraud and marketing decisions. The candidate serves as a thought leader and a problem-solver who can blend business, technical, and industry best practices when it comes to developing the models, and algorithms that power our customers&rsquo; digital experiences. This role sits at the intersection of applied AI research, large-scale AI platforms, and large-scale compute infrastructure. The AI researcher will help define and execute a forward-looking research agenda and help to translate cutting-edge machine learning, and systems innovation into scalable, governed, and business-critical AI capabilities. Role is focused on advanced modelling solutions for structured data (tabular data, sequence of events, timeseries, graph-based structures).
The ideal candidate will combine deep hand-on ML research expertise with strong practical knowledge and experience in building scalable infrastructure and data science platforms.
Colleagues in AI Labs serve as key members of the Global Decision Science organization within Credit and Fraud Risk at American Express. This critical team is responsible for managing enterprise risks throughout the customer lifecycle, across our consumer and commercial businesses, and across all our global products. We develop industry-first data capabilities, build profitable decision-making frameworks, create machine learning-powered predictive models, and improve customer servicing strategies.
Our Global Decision Science teams use industry leading modelling and AI practices to predict customer behaviour. We develop, deploy and validate predictive models and support the use of models in economic logic to enable profitable decisions across credit, fraud, marketing and servicing optimization engines.</div>
 <div><ul><li>Ph.D degree in Computer Science, Statistics, Operations Research, Engineering, Mathematics, Economics, Physics, or a related quantitative field or equivalent work experience.
</li><li>Work experience in applied research lab organisations is a plus.
</li><li>Very strong record of applied research impact through platforms, patents, production systems, or enterprise-scale adoption, in addition to traditional publications.
</li><li>Expertise with GPU-accelerated ML workloads, high-performance computing, and advanced optimization techniques are essential.
</li><li>Expert knowledge of machine learning and statistical modeling methods for supervised and unsupervised learning in areas such as transformer and attention-based architectures, deep learning for structured sequential and graph data, multi-task and transfer learning.
</li><li>Exceptional programming skills in Python, Spark. Additional knowledge of C/C++ and Java is preferred
</li><li>Expertise in hybrid-cloud AI/ML infrastructure, including Google Cloud (e.g., Vertex AI, BigQuery, Dataproc) and large-scale distributed computing environments.
</li><li>Strong knowledge of databases and related languages/tools such as SQL, NoSQL, Hive, etc.
</li><li>Exceptional people leadership and managerial skills
</li><li>Ability to work in a dynamic, cross-functional environment, with a strong attention to detail
</li><li>Effective communication skills and ability to explain complex data products in simple terms
</li><li>Strong relationship building and collaborative skills. 
</li></ul> 
Employment eligibility to work with American Express in UK is required as the company will not pursue visa sponsorship for these positions.</div>
 <div>At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.
As part of Team Amex, you&rsquo;ll experience our powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.</div>
 <div>We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:
<ul><li>Competitive base salaries
</li><li>Bonus incentives
</li><li>Support for financial-well-being and retirement
</li><li>Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
</li><li>Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
</li><li>Generous paid parental leave policies (depending on your location)
</li><li>Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
</li><li>Free and confidential counseling support through our Healthy Minds program
</li><li>Career development and training opportunities
</li></ul><div>Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.</div></div>

AI Researcher

Resolution

<div><h1 class="jobSectionHeader">About Resolution</h1>
Resolution does research on how to align artificial superintelligence (ASI). ASI may be developed in the next few years, but it is unclear whether alignment is on track to be ready in the same timeframe. We aim at higher a priori confidence in aligned outcomes by pursuing a portfolio of theory and empirics bets, any one of which &mdash; if it succeeds &mdash; would meaningfully advance the field. We invest heavily in research automation to accelerate progress, and we believe that stronger alignment theory unlocks higher automation: more principled approaches give us better filters for which directions of automated research are promising.
Resolution was founded in 2026 by researchers from UK AISI's Alignment Team, who ran the &pound;30m Alignment Project, and Timaeus, who pioneered applying singular learning theory to alignment.
For more information, see our announcement.<h1 class="jobSectionHeader">
About the Team</h1>
We are hiring Research Scientists across our research programs. The team you'd join depends on your strengths and interests. In your application, indicate which program(s) you'd be most interested in.<h2 class="jobSectionHeader">
About the Role</h2>
As a Research Scientist at Resolution, you'll work as part of a research program led by a senior researcher (which could be you!). At Resolution, our goal of reaching higher confidence in alignment will require significant new contributions in both methods and scientific understanding. The work you do day-to-day will be part of a collaborative research program; all programs involve deep technical research, with strong support for cross-program collaboration. We welcome both empirical and theoretical profiles.<h2 class="jobSectionHeader">
Responsibilities</h2><ul><li>
Research within your program: both translating and modelling alignment problems into concrete empirical or theoretical form and executing on the resulting concrete problems. Execution means designing and running experimental protocols and methods for empirics, and proving, conjecturing, and investing in autoformalization for theory.</li><li>
Writing and presentation of completed research in the form of papers, blog posts, and talks.</li><li>
Communication of research progress and obstacles to members of your team through channels like Slack on a daily basis and in weekly meetings.</li></ul><h2 class="jobSectionHeader">
You May Be a Good Fit If You</h2><ul><li>
Have a graduate degree (Ph.D.) or equivalent experience in a field relevant to the program you're applying to: ML, CS, mathematics, physics, statistics, philosophy, or something closely related</li><li>
Have a track record of research and strong technical writing ability: papers, preprints, or comparable output</li><li>
Have a strong mathematical background, even if your work is primarily empirical</li><li>
Can credibly articulate why your area of alignment work is worth pursuing</li><li>
Are willing to use AI tools aggressively in your own workflow, with appropriate care to not get fooled!</li><li>
Are motivated by alignment of artificial superintelligence (ASI) and want to contribute to it full-time</li></ul><h2 class="jobSectionHeader">
Strong Candidates May Also Have</h2><ul><li>
(For scalable oversight) Hands-on experience with debate, prover-verifier games, RLHF empirics at frontier scale; familiarity with the scalable oversight literature; background in game theory, complexity theory, mechanism design, or decision theory</li><li>
(For complexity theory) Demonstrated expertise in theoretical computer science, including creative modeling and assumption generation</li><li>
(For learning theory) Background in algebraic geometry, Bayesian statistics, information theory, statistical physics, optimization theory, or learning theory; familiarity with (singular) learning theory</li><li>
(Across programs) Experience scaling experiments to billion-plus parameter models; a track record of productive collaboration with engineers; prior engagement with our research or sibling organizations (Simplex, ARC, etc.). Experience with AI alignment is a plus, but is not a requirement: we are excited to bring experienced researchers from other fields into alignment work, and we see our ability to facilitate that transition as one of Resolution's comparative advantages.</li></ul><h2 class="jobSectionHeader">
Research Program Lead</h2>
We're also building out program leadership across our research areas. We expect to fill these roles primarily through targeted headhunting rather than open applications. If you think you might be a strong fit for a Research Program Lead position, a senior researcher who could direct an entire research program at Resolution, please reach out to us directly.<h1 class="jobSectionHeader">
Application Process</h1>
Initial screener. A 20-minute conversation with a senior researcher to discuss your research background, motivations, and interests.
Work trial. A 4-hour take-home assignment. We'll collect references in parallel. We'll compensate you for your time, subject to right-to-work constraints.
Work trial review. A 45-minute discussion of your work trial.
Research talk. A 30&ndash;40 minute interactive conversation about your previous research.
Senior 1:1. A 30-minute conversation with a member of our research leadership.<h1 class="jobSectionHeader">
Logistics</h1>
Salary: Your salary depends on the scope, autonomy, and impact we expect you to have while working at Resolution. The expected range of salaries for this role is:<ul><li>
L3: $141,000 remote; $236,000 in-person</li><li>
L4: $208,000 remote; $346,000 in-person</li><li>
L5: $270,000 remote; $451,000 in-person</li><li>
L6: $402,000 remote; $670,000 in-person</li><li>
L7: $738,000 remote; $930,000 in-person</li></ul>
Strong early-career researchers will typically come in at L3. Someone with several years of independent research experience would likely start at L4 or L5.
Location: Berkeley, California. Remote may be considered in exceptional cases.
Benefits:<ul><li>
5 weeks of paid vacation per year, in addition to public holidays.</li><li>
Comprehensive healthcare insurance (medical, dental, vision).</li><li>
Unlimited sick leave to prioritize your well-being.</li><li>
An unconditional 401(k) contribution equal to 4% of your salary.</li></ul>
Visa sponsorship: We can sponsor visas for relocation to Berkeley.
Minimum education: A bachelor's degree in a field relevant to the role, or an equivalent combination of education, training, and/or professional experience that demonstrates comparable knowledge.
Deadline: Applications are rolling &mdash; please apply ASAP. We'll respond to applications within one week of receipt.
Start date: ASAP.
Compensation Range: $141K - $930K</div>

Research Scientist

<div>At GSK, we are using Artificial Intelligence (AI) and Machine Learning (ML) to develop new therapies and personalized drugs that drive better outcomes for patients at reduced cost with fewer side effects. Because the datasets we use and algorithms we build at each step of the drug development journey have safety and ethical implications for our patients, GSK has a dedicated team working on the responsible use of AI in healthcare.
We are looking for a researcher with a track record in successfully developing and publishing state-of-the-art AI/ML methods, preferably with a focus on foundation models and their evaluation. In addition to outstanding ML engineering and research skills, ideal candidates will demonstrate a keen interest in ethical and safety aspects of using AI in drug discovery and the clinic.
The Responsible AI team is built on the principles of ownership, accountability, continuous development, and collaboration. We hire for the long term, and we are motivated to make this a great place to work. Our leaders will be committed to your career and development from day one. We strongly encourage applications from people with diverse and underrepresented backgrounds and perspectives.
In this role you will
<ul><li>Perform and publish ML research for the evaluation and development of biomedical foundation models, on various healthcare modalities (including multimodal).
</li><li>Develop and implement ML methods to solve applied problems at the interface of biomedical foundation models, drug discovery and challenging biomedical datasets.
</li><li>Support different teams across AIML and GSK in building ethical ML pipelines and software products.
</li><li>Work closely with research scientists, senior leaders, AI/ML engineers, and policy experts on the implementation of GSK&rsquo;s responsible AI strategy.
</li></ul>Why you?
Qualifications &amp; Skills:
We are looking for professionals with these required skills to achieve our goals:
<ul><li>A PhD-equivalent degree in a quantitative or engineering discipline (e.g., computer science, computational biology, bioinformatics, engineering, among others); OR equivalent work experience as a professional ML research engineer.
</li><li>A track record of performing high quality ML research, evidenced by publications at major ML venues.
</li><li>A strong foundation in machine learning and experience with state-of-the-art modelling approaches, especially foundation models.
</li><li>Demonstrated programming expertise in Python and experience working with different types of complex and/or multi-modal datasets.
</li><li>Solid understanding of at least one major deep learning framework (PyTorch, TensorFlow).
</li><li>Keenness to learn fast in a new domain and to develop your ML and software engineering skills.
</li><li>Proactive communication and problem-solving, and a proven ability to collaborate with colleagues of various backgrounds and levels of seniority.
</li></ul>Preferred Qualifications &amp; Skills:
If you have the following characteristics, it would be a plus:
<ul><li>Experience working with biomedical data (e.g., genomics, transcriptomics, proteomics, electronic health records, clinical images).
</li><li>Contributions to relevant open-source projects.
</li><li>A background or interest in drug discovery, biology, medicine or ethics.
</li></ul>Closing Date for Applications: Monday 6th July 2026 (COB)
Please take a copy of the Job Description, as this will not be available post closure of the advert. 
 
When applying for this role, please use the &lsquo;cover letter&rsquo; of the online application or your CV to describe how you meet the competencies for this role, as outlined in the job requirements above. The information that you have provided in your cover letter and CV will be used to assess your application. 
 
During the course of your application, you will be requested to complete voluntary information which will be used in monitoring the effectiveness of our equality and diversity policies. Your information will be treated as confidential and will not be used in any part of the selection process. If you require a reasonable adjustment to the application / selection process to enable you to demonstrate your ability to perform the job requirements, please contact 0808 234 4391. This will help us to understand any modifications we may need to make to support you throughout our selection process.
#LI-GSK
#LI-Hybrid
#GSKAIML
Why GSK?
Uniting science, technology and talent to get ahead of disease together.
GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive.
We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases &ndash; to impact health at scale.
People and patients around the world count on the medicines and vaccines we make, so we&rsquo;re committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people.
GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law.
We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are.
Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us at UKRecruitment.Adjustments@gsk.com where you can also request a call.
Please note should your enquiry not relate to adjustments, we will not be able to support you through these channels. However, we have created a Recruitment FAQ guide.
Important notice to Employment businesses/ Agencies
GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site.
Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK&rsquo;s compliance to all federal and state US Transparency requirements. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at https://openpaymentsdata.cms.gov/</div>

AI/ML Engineer, Responsible AI

Waymo

<div>LONDON, ENGLAND, UNITED KINGDOM
FULL-TIME
SOFTWARE ENGINEERING
5080</div>
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</div><div><div>Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver&mdash;The World's Most Experienced Driver&trade;&mdash;to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo&rsquo;s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.</div>
The DUE ML Core London team builds and operates scalable machine learning systems, simulation workflows, and insight tools designed to improve the evaluation and developer onboarding journeys. By combining expert human judgment with advanced machine learning models, we deliver training and evaluation data for hundreds of metrics and components that comprise the Waymo Driver. 
 
We are looking for researchers and software engineers passionate about developing ML techniques for evaluation systems and driving performance improvements across our technology stack. 


You will:
<ul>
<li>Build scalable systems for training and fine-tuning large-scale generative models to produce realistic and evaluate interesting driving behaviors.</li>
<li>Lead the implementation, and iteration of novel RL algorithms, reward functions, and training paradigms tailored for generating high-fidelity and insightful driving behaviors</li>
<li>Lead the development of cutting-edge Deep Learning models and Generative AI (LLM/VLM) solutions to enhance human-led triaging, introduce automation for high-volume workflows, and perform nuanced analysis of self-driving behavior to detect critical anomalies.</li>
<li>Oversee the production and optimization of machine learning models aiming to assess Waymo&rsquo;s expansive fleet of vehicles that cumulatively travel millions of miles.</li>
<li>Proactively monitor and assimilate best practices from within Alphabet and the broader industry to develop a novel Reinforcement Learning from Human Preference (RLHF) based data collection and evaluation system.</li>
<li>Collaborate closely with multiple teams (e.g., Prediction, Planning, Research), other technical leads, and senior leaderships across Waymo to deliver on key strategic efforts.</li></ul> 


You have:
<ul>
<li>M.S. or Ph.D. degree Computer Science, Machine Learning, Artificial Intelligence, or a related technical field, or equivalent practical experience.</li>
<li>7+ years of hands-on experience in developing and applying Machine Learning models, with a significant focus on Reinforcement Learning.</li>
<li>Demonstrated expertise in deep learning, sequence modeling, and generative models.</li>
<li>Strong publication record or history of impactful project delivery in RL or related areas.</li>
<li>Proficiency in Python and standard ML frameworks (e.g., JAX, TensorFlow).</li>
<li>Experience with large-scale distributed training and data processing.</li>
<li>Proven ability to lead complex and ambiguous technical projects from conception to completion.</li></ul> 


We prefer:
<ul>
<li>10+ years of relevant experience in ML/RL research and application.</li>
<li>Experience in the autonomous vehicles domain, robotics, or complex simulation environments.</li>
<li>Deep understanding of state-of-the-art RL techniques, including those used for fine-tuning large models (e.g., from human feedback/preferences).</li>
<li>Familiarity with large-scale simulation platforms and their integration with ML training workflows.</li>
<li>Experience designing and using metrics for evaluating complex AI systems.</li>
<li>Track record of technical leadership, influencing senior stakeholders, and driving innovation across team boundaries.</li>
<li>Excellent communication skills, with the ability to articulate complex technical concepts clearly.</li></ul><div><div> 
<div>
The expected base salary range for this full-time position is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Waymo employees are also eligible to participate in Waymo&rsquo;s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.
</div><div>Salary Range</div>
<div>&pound;155,000&mdash;&pound;163,000 GBP</div></div></div></div></div></div></div>

Staff 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
 
 
 <ul>
 <li>
 Develop, train, and optimise advanced computer vision and machine learning systems
 </li>
 <li>
 Deploy machine learning solutions in constrained edge environments
 </li>
 <li>
 Work with a team of experts on innovative AI projects
 </li>
 <li>
 Contribute to the full lifecycle of machine learning model development
 
 
 </li>
 </ul>
 What You'll Need
 
 
 <ul>
 <li>
 Proven experience as a Machine Learning Engineer
 </li>
 <li>
 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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 </ul>
 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!
 
 
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Machine Learning Engineer

Explore 485+ Machine learning researcher in London this July. Find roles across top companies and apply now to boost your career.