data engineer

data scientist

software engineer

senior data engineer

senior data scientist

research scientist

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

Relay Technologies

<div>Relay is fundamentally reshaping how goods move in an online era. Backed by Europe&rsquo;s largest-ever logistics Series A ($35M), led by deep-tech investors Plural (whose portfolio spans fusion energy and space exploration), Relay is scaling faster than 99.98% of venture-backed startups. We're assembling the most talent-dense team the logistics industry has ever seen
Relay&rsquo;s Mission is to free commerce from friction. Today, high delivery costs act as a hidden tax on e-commerce, quietly shaping what can be sold online and limiting who can participate. We envision a world where more goods move more freely between more people, making the online shopping experience seamless and accessible to everyone.<div>
THE TEAM 
<ul><li>~110 people, more than half in engineering, product and data</li><li>45+ advanced degrees across computer science, mathematics and operations research</li><li>Thousands of data points captured, calculated, analysed and predicted for every single parcel we handle</li><li>An intellectually vibrant culture of first‑principles thinking, tight feedback loops and relentless experimentation</li></ul></div><div></div> 
The Opportunity
A last-mile marketplace runs on decisions &mdash; which parcels? on which routes? delivered by which couriers? at what price? Thousands of them, made every single day. Good decisions have fast and meaningful impact across the entire Relay Network. Our Operational Research team are responsible for the intelligent systems that optimise the most complex decisions across our network.
As the first Operational Research Scientist in Last Mile Marketplace, you will design, build and evolve the optimisation models and solvers that sit at the heart of Relay's last-mile network &mdash; These are production Decision systems that shape how Relay operates every day.
This is a senior individual contributor role. You will work alongside Data Scientists, Analysts, and Engineers in a squad focussed on developing the tech defining our last mile marketplace.
This role sits within Relay&rsquo;s Data function, joining a dedicated Operational Research team, reporting into the Staff Decision Systems Architect.<div></div> 
What You'll Do<ul><li>
Translate operational requirements into optimisation models across scheduling, assignment and pricing problems.</li><li>
Develop and evaluate solution approaches &mdash; drawing on knowledge of mathematical programming and meta-heuristics.</li><li>
Design and build algorithms, heuristics and solvers bespoke for the unique problems you formulate.</li><li>
Ensure your solutions are scalable and adaptable to our growing operation.</li><li>
Benchmark and evaluate the performance of your solutions</li><li>
Work closely with engineering to productionise your solutions into automated daily processes</li><li>
Work with analytics to monitor the daily performance of your solution, using this information to proactively evolve your solution to make better decisions.</li></ul><div></div> 
Who Will Thrive in This Role?<ul><li>
You want to be close to the problems you are optimising, and decisions your solutions will make, getting hands-on in the network to see the outcome of your work first hand.</li><li>
You have relevant operational research experience in heuristics and/or mathematical programming.</li><li>
You are comfortable coding in a general purpose or performance language, such as Python, Rust, Julia or C++</li><li>
You enjoy the challenge of solving large-scale optimisation problems</li><li>
You are motivated to work on production systems, learning from the realised outcome of your optimisation model every day, and proactively evolving your solution.</li><li>
You love understanding problems deeply, crafting bespoke solutions to unique dynamics of the decision being made.</li><li>
You are excited to work in a cross-functional tech team designing and building Relay&rsquo;s Last Mile Marketplace</li><li>
You care about the people your work affects &mdash; couriers, retailers, and consumers all feel the decisions these systems make</li></ul><div></div> 
Fast and Focused Hiring Process<ul><li>
Talent Acquisition Interview - 30mins | Online</li><li>
Hiring Manager Interview - 45mins
</li><li>Python Live Coding - 60mins
</li><li>Case Study - 60mins
</li><li>Relay Operating Principles &amp; Impact- 60mins
</li><li>Decision and offer within 48 hours. Our process mirrors our pace of work.</li></ul><div></div> 
Compensation &amp; Benefits<ul><li>
Generous equity, richer than 99% of European startups, with annual top-ups to share Relay&rsquo;s success.</li><li>
Private health &amp; dental coverage, so comprehensive you&rsquo;d need to be a partner at a Magic Circle law firm to match it.</li><li>
25 days of holidays</li><li>
Enhanced parental leave.</li><li>
Hardware of your choice.</li><li>
Extensive perks (gym subsidies, cycle-to-work, Friday office lunch, covered Uber home and dinner for late nights, and more).</li></ul><div></div> 
Who Thrives at Relay?<ul><li>
Aim with Precision: You define problems clearly and measure your impact meticulously.</li><li>
Play to Win: You chase bold bets, tackle the hard stuff, and view constraints as fuel, not friction.</li><li>
1% Better Every Day: You believe that small, consistent improvements lead to exponential growth. You move quickly, deliver results, and learn from every experience.</li><li>
All In, All the Time: You show up and step up. You take ownership from start to finish and do what it takes to deliver when it counts.</li><li>
People-Powered Greatness: You invest in your teammates. You give and receive feedback with care and candour. You build trust through high standards and shared success.</li><li>
Grow the Whole Pie: You seek out win-win solutions for merchants, couriers, and our customers, because when they thrive, so do we. 
 
If these resonate, and you combine strong technical fundamentals with entrepreneurial drive, let&rsquo;s connect.</li></ul>
Relay is an equal-opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives.</div>

Senior Data Scientist - Operational Research

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Amazon Strategic Account Services (SAS) Tech Organization is looking for an Applied Scientist Applied Scientist who can autonomously drive scientific innovations from research to production, developing sophisticated AI solutions that serve both Amazon's global seller base and internal Marketplace Consultants. Working in a highly collaborative environment, you'll leverage expertise in machine learning, operations research, and statistics to translate theoretical advances in LLMs, probabilistic modeling, and optimization into practical applications. The role demands strong capabilities in prototyping and iterative improvement, bridging cutting models with real-world applications while maintaining scientific rigor and measurable business impact. 
 
Key job responsibilities 
<ul><li>Lead the development of sophisticated AI solutions leveraging deep learning, LLMs, and advanced machine learning techniques to transform both seller operations and internal consultancy capabilities at scale</li><li>Define and drive long-term scientific vision for the organization, translating complex business challenges into innovative technical solutions that advance the state-of-the-art in applied machine learning</li></ul>
- Design and implement advanced ML architectures combining multiple learning paradigms - from reinforcement learning and causal inference to predictive modeling - to tackle critical marketplace challenges 
<ul><li>Architect next-generation recommendation and optimization systems that handle complex multi-dimensional constraints while maintaining robustness and interpretability at scale</li><li>Drive end-to-end development of AI applications from research through production, collaborating with engineering teams to ensure successful deployment and conducting rigorous A/B experiments to validate impact</li><li>Pioneer novel applications of foundation models and generative AI, developing sophisticated evaluation frameworks while maintaining Amazon's high standards for accuracy and reliability</li><li>Lead technical discussions across organizational boundaries, effectively communicating complex scientific concepts to diverse stakeholders while staying at the forefront of ML/AI research advancements</li></ul> 
About the team 
What is Amazon Strategic Account Services (SAS)? 
The SAS team aims to accelerate the full potential of our Sellers, helping them to navigate the increasing complexity of the e-commerce space. Our team provides in-depth strategic consultancy using a data-driven, collaborative, and a Customer-focused approach to achieve commercial goals of Amazon Sellers.
</div><h2 class="jobSectionHeader">BASIC QUALIFICATIONS</h2><ul><li>PhD, or a Master's degree and experience in building models for business application</li><li>Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design</li><li>Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Track record of investigating, designing, and delivering innovative ML solutions that drive significant business impact</li></ul> 
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates. 
 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.</div>

Applied Scientist II, Strategic Account Services (SAS)

Data Idols

<div><h2 class="jobSectionHeader">Senior Data Scientist</h2>
<h3 class="jobSectionHeader">Salary: &pound;85K &ndash; &pound;95K</h3>
<h3 class="jobSectionHeader">Location: London (Hybrid &ndash; 3 days per week)</h3>

Data Idols are working with an ambitious early-stage technology company that is building a machine learning platform capable of solving complex behavioural prediction problems at scale.

Already working with paying customers and backed by experienced founders with a successful track record of building and exiting technology businesses, they&rsquo;re now looking for a Senior Data Scientist to own one of the most important parts of the company.
<h3 class="jobSectionHeader">
The Opportunity</h3>

This isn&rsquo;t a role where you&rsquo;ll optimise an existing model or become another specialist in a large data science team.

You&rsquo;ll be responsible for designing and building the machine learning capability at the heart of the business. Rather than creating a single predictive model, you&rsquo;ll develop automated systems capable of generating, deploying and continuously improving bespoke machine learning models for every customer.

You&rsquo;ll work with large-scale behavioural event data, applying machine learning, feature engineering and experimentation to improve prediction accuracy and drive measurable customer outcomes.

Working alongside highly experienced founders and recognised experts in machine learning, you&rsquo;ll have the opportunity to influence product strategy, shape technical direction and establish best practices from day one.

This is a genuine ownership role where your work will have a direct impact on both the product and the future success of the business.
<h3 class="jobSectionHeader">
Skills &amp; Experience</h3>
<ul><li>Strong commercial experience building machine learning models in Python</li>
<li>Excellent understanding of predictive modelling, classification or propensity modelling</li>
<li>Experience with feature engineering, model evaluation and experimentation</li>
<li>Comfortable working across the full machine learning lifecycle</li>
<li>Experience working with cloud platforms and modern ML tooling</li>
<li>Curious and analytical mindset</li>
</ul>
If you&rsquo;re looking for a role where you&rsquo;ll solve genuinely difficult machine learning challenges, build something from the ground up and see the direct impact of your work, we&rsquo;d love to hear from you.
<h2 class="jobSectionHeader">
Senior Data Scientist</h2></div><div></div>

Senior Data Scientist

Lorien

<div>
 
 
 Data Scientist / Machine Learning Scientist - Outside IR35
 
 
 
 
 
 
 
 Location:
 
 London (Hybrid)
 
 
 
 Length:
 
 6 months
 
 
 
 
 
 
 Ready to build and deploy real AI systems at scale?
 
 
 
 Join a growing AI teams, where you&rsquo;ll shape how AI transforms global business. We&rsquo;re hiring hands-on operators who deliver production-ready LLM and agentic solutions&mdash;not just prototypes.
 
 
 
 
 
 
 What You&rsquo;ll Do:
 
 
 <ul>
 <li>
 Design and build AI agents and agentic workflows powered by LLMs (retrieval, reasoning, tool orchestration)
 </li>
 <li>
 Develop multi-step intelligent systems for planning, memory, and real-world tool usage
 </li>
 <li>
 Deliver recommendation, classification, and forecasting systems on large-scale datasets
 </li>
 <li>
 Automate complex workflows and decision-making, driving measurable business impact
 </li>
 <li>
 Own problems end-to-end: from exploration to production deployment and iteration
 </li>
 <li>
 Integrate AI into products, APIs, and business processes for scalable, reliable solutions
 </li>
 <li>
 Collaborate with engineering to ensure robust, observable, and maintainable systems
 </li>
 </ul>
 
 
 
 
 
 What You&rsquo;ll Bring:
 
 
 <ul>
 <li>
 Strong Python skills and production-grade coding experience
 </li>
 <li>
 Proven track record shipping LLM-powered systems (LangChain/LangGraph or similar) into production
 </li>
 <li>
 Hands-on experience with AI agents, agentic workflows, and multi-step reasoning
 </li>
 <li>
 Experience designing and implementing RAG systems with real-world impact
 </li>
 <li>
 Familiarity with MCP or similar orchestration patterns (FastMCP/FastAPI)
 </li>
 <li>
 Understanding of LLM limitations and trade-offs (hallucination, latency, cost)
 </li>
 <li>
 Cloud deployment experience (AWS, GCP, Azure)
 </li>
 <li>
 Masters or higher in Maths, Science, or Computer Science
 </li>
 <li>
 Ownership mindset, bias for action, and strong product focus
 </li>
 <li>
 Comfortable in fast-moving, ambiguous environments
 </li>
 </ul>
 
 
 
 
 
 Bonus Points:
 
 
 <ul>
 <li>
 Experience with SaaS/B2B AI products or AI-driven business transformation
 </li>
 <li>
 Background in high-growth/scaling environments
 </li>
 <li>
 Evidence of systems delivering real value in production
 </li>
 </ul>
</div>

Data Scientist

JD.COM

<div>
 
 JD.com (NASDAQ: JD and HKEX: 9618), also known as JINGDONG, has evolved from a pioneering e-commerce platform into a leading technology and service provider with supply chain at its core. Renowned for its supply chain innovation and excellence, the company has expanded into sectors including retail, technology, logistics, healthcare, and more, aiming to transform traditional business models with cutting-edge digital solutions. Know more about us: https://corporate.jd.com/
 
 
 
 
 
 We are looking for a Machine Learning Engineer who is passionate about turning machine learning and research into real, large-scale business impact to build a next-generation inventory prediction &amp; replenishment optimisation platform at Joybuy (https://www.joybuy.com/). Joybuy is JD.com&rsquo;s European full-category online retail brand designed to bring customers a faster, more convenient, and cost-effective shopping experience. Offering same-day and next-day delivery across the UK, Joybuy combines speed, reliability, and affordability to meet the needs of modern shoppers. As a Machine Learning Engineer focusing on demand forecasting, replenishment optimisation, and supply chain decision intelligence, you will design, develop, and deploy models that support billions of dollars ' worth of global inventory flow decisions. Your work directly influences forecast accuracy, stock availability, fulfilment cost, and customer experience.
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Design, implement, and evaluate machine learning models for demand forecasting, replenishment, and fulfilment optimisation.
 </li>
 <li>
 Develop innovative algorithmic solutions to complex forecasting and supply chain problems in close collaboration with product, engineering, and operations teams.
 </li>
 <li>
 Contribute to the technical direction of the fulfilment intelligence platform and influence model architecture, system design, and best practices.
 </li>
 <li>
 Work onsite in London, UK.
 </li>
 </ul>
 
 
 
 
 
 Minimum Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Engineering, Computer Science, Mathematics, or a related technical field.
 </li>
 <li>
 3+ years of professional experience as a machine learning engineer or applied research scientist.
 </li>
 <li>
 Experience programming in Java, C++, Python or a related language
 </li>
 <li>
 Experience with neural deep learning methods and machine learning
 </li>
 <li>
 Demonstrated ability to work independently with minimal guidance; proactively manage tasks and priorities across multiple projects; analyze and execute work efficiently; collaborate effectively with cross-functional teams; and thrive in fast-paced, results-driven environments.
 </li>
 <li>
 Effective communication skills in English.
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications
 
 
 <ul>
 <li>
 Professional experience in e-commerce, retail forecasting, fulfilment logistics, inventory planning, or similar domains.
 </li>
 <li>
 Hands-on experience with modelling tools such as Python, PyTorch, TensorFlow, scikit-learn etc.
 </li>
 <li>
 Hands-on experience building large-scale distributed machine learning systems such as Hadoop, Spark etc.
 </li>
 <li>
 Effective communication skills in Chinese.
 </li>
 </ul>
 
 
 
 
 JD.com is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
 
 
 
 
 
 JR101321
 
</div>

Machine Learning Engineer - Fulfilment

Muzz

<div>
 
 
 London, UK - Hybrid (Tue, Wed &amp; Thur in Office)
 
 
 
 
 &pound;80,000 - &pound;90,000 + equity
 
 
 
 
 
 
 We&rsquo;re looking for a smart and ambitious data scientist, with real entrepreneurial flair to join our team and understand our members and all the metrics that matter. Love numbers and love being commercial? This role presents an opportunity to mold the future of the data science team, explore new ideas and new technologies.
 
 
 
 
 
 Muzz is the world&rsquo;s largest Muslim dating and marriage app. We&rsquo;ve got over 15 million members and have helped more than 800,000 couples get married. We&rsquo;re on our way to become the first $1 billion Muslim tech brand - but we need your help!
 
 
 
 
 
 
 Day to day
 
 
 <ul>
 <li>
 You'll be joining a dynamic data science team whose goal is to grow the company and optimize our products as we expand into new markets around the world
 </li>
 <li>
 You'll be understanding our user behaviour on the platform with a view to generating actionable insights in terms of both product and marketing
 </li>
 <li>
 You'll work closely with our product, engineering and growth teams
 </li>
 <li>
 You'll be a proactive self-starter, driving innovation with a product focus
 </li>
 <li>
 You&rsquo;ll be diving into a range of data to solve our highest impact and complex challenges
 </li>
 <li>
 You'll own and evolve the production ML systems behind our personalization and recommendations serving millions of users
 </li>
 <li>
 You'll use AI tools as a core part of how you work and help set how the wider team gets the most out of them
 </li>
 <li>
 You'll raise the bar for the team - mentoring analysts and data scientists, and helping shape our technical standards and roadmap
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 <ul>
 <li>
 At least 5 years of experience in a Data Scientist or Machine Learning Engineer role
 </li>
 <li>
 Strong Python and SQL knowledge
 </li>
 <li>
 Strong grounding in the statistical methods behind personalization and recommendations models - e.g. embeddings, ranking, collaborative filtering
 </li>
 <li>
 Excellent written and verbal communication skills and presenting to non-technical audiences
 </li>
 <li>
 Commercial mindset with the ability to harness customer insights to optimise our marketing and products
 </li>
 <li>
 Ability to work collaboratively in cross-functional teams
 </li>
 <li>
 Passionate about solving complex and challenging data problems
 </li>
 <li>
 Experience in designing and conducting A/B experiments
 </li>
 <li>
 A proven track record of developing and owning production ML pipelines - including data processing, deployment, monitoring, retraining
 </li>
 <li>
 Demonstrated end-to-end ownership of significant ML projects - from framing the problem to shipping it, and through the messy realities of live performance, edge cases and iteration once real users hit it
 </li>
 </ul>
 
 
 
 
 
 Nice to have
 
 
 <ul>
 <li>
 Hands-on experience with recommender systems, with real-time or near-real-time updates and serving
 </li>
 <li>
 Experience in consumer-facing mobile-first products
 </li>
 <li>
 Experience with GCP platform - BigQuery/VertexAI
 </li>
 </ul>
 
 
 
</div>

Explore 175+ Research scientist in London this July. Find roles across top companies and apply now to boost your career.

175 research scientist jobs In London

Research Scientist

Senior Data Scientist - Operational Research

Applied Scientist II, Strategic Account Services (SAS)

Senior Data Scientist

Data Scientist

Machine Learning Engineer - Fulfilment

Senior Data Scientist