machine learning engineer

ai engineer

data engineer

senior software engineer

software engineer

ai research engineer

DeepMind

<div><h3 class="jobSectionHeader">Minimum qualifications:</h3><ul>
<li>Bachelor's degree in Computer Science, Physics, Mathematics, Chemistry, Engineering, a related field, or equivalent practical experience.</li>
<li>5 years of experience in machine learning, engineering, and software development using Python.</li>
<li>Experience with data structures or algorithms in an academic or industry setting</li></ul> 
<h3 class="jobSectionHeader">
Preferred qualifications:</h3><ul>
<li>PhD in a relevant scientific or computational field.</li>
<li>Experience in agentic AI and modern machine learning paradigms (e.g., diffusion, transformers, agentic tools, LLMs).</li>
<li>Knowledge of quantum computing concepts.</li>
</ul><div><h2 class="jobSectionHeader">About the job</h2>
At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.
From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers.

As a Research Engineer on our Science Team, you will contribute to our Quantum Computing Initiative. This role is an excellent opportunity for a creative and driven engineer who truly burns for the immense possibilities of AI for Science. 
 
In this role, you will act as the crucial bridge between research and implementation, by seamlessly linking quantum computing research with ML. As an amazing team player, you will collaborate with domain experts in (quantum) computer science, mathematics, computational chemistry, physics, and machine learning.
Artificial intelligence will be one of humanity&rsquo;s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.<div>
We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.</div></div><div><h2 class="jobSectionHeader">
Responsibilities</h2><ul>
<li>Deliver on complex research and engineering milestones, assuming end-to-end ownership of implementing and scaling ML solutions (traditional and agentic) at the intersection of quantum computing and machine learning.</li>
<li>Complement the algorithms development pillar by translating classical and quantum algorithms into robust code, balancing implementation time with efficiency, design simplicity, and sustainability.</li>
<li>Facilitate communication between research and engineering by advocating code readability, promoting engineering best practices, and writing effective design documents.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Research Engineer, Quantum Computing, DeepMind

Anthropic

<div><div><h2 class="jobSectionHeader">About Anthropic</h2>

Anthropic&rsquo;s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</div><div><h2 class="jobSectionHeader">
About the role</h2>

Anthropic's RL Scaling Science team studies how reinforcement learning behaves as we scale it (across model size, compute, and task horizon) and turns that understanding into the training recipes behind our frontier models. As a Research Engineer on this team, you'll design and run large-scale experiments to understand and resolve bottlenecks, build the benchmarks that make long-horizon progress measurable, and ship validated findings directly into production training.

This role lives at the boundary between research and engineering. The problems are open, the experiments run at frontier scale, and the path from a robust result to production is short.
<h2 class="jobSectionHeader">
Key responsibilities</h2>
<ul><li>Design, run, and interpret large-scale RL experiments, reasoning rigorously about what the data does and doesn't show</li>
<li>Investigate how RL improves as horizon, compute, and model size grow</li>
<li>Build and maintain benchmarks for long-horizon RL so progress is measurable and reproducible</li>
<li>Translate validated findings into production training recipes, exercising judgment about when a result is robust enough to ship</li>
<li>Debug complex issues at the seam where research meets infrastructure - failures that only appear at scale</li>
<li>Partner closely with adjacent RL teams across research and engineering and advance our overall RL stack</li>
</ul><h2 class="jobSectionHeader">Minimum qualifications</h2>
<ul><li>Strong empirical research skills in Reinforcement Learning, large-scale ML training, or a closely adjacent area</li>
<li>Demonstrated ability to own large experiments end-to-end, from design through interpretation</li>
<li>Proficiency in Python and experience working with large-scale or distributed ML systems</li>
<li>Comfort operating at the research/systems boundary, including debugging where the two meet</li>
<li>Care about the societal impacts of AI and responsible scaling</li>
</ul><h2 class="jobSectionHeader">Preferred qualifications</h2>
<ul><li>Published or shipped work in long-horizon RL or RL fundamentals</li>
<li>Experience translating research findings into production training recipes</li>
<li>Demonstrated large scale industry impact via RL interventions</li>
<li>Experience working on frontier-scale training runs with long trajectories</li>
</ul><h2 class="jobSectionHeader">Representative projects</h2>
<ul><li>Design a benchmark suite for long-horizon RL that distinguishes genuine capability gains from artifacts of evaluation setup</li>
<li>Take a promising experimental finding, stress-test it across model scales, and work with training teams to land it in a production recipe</li>
<li>Investigate an unexpected scaling trend in an RL run and trace it to a root cause spanning algorithm, data, and infrastructure</li></ul></div><div><div><div><div> 
The annual compensation range for this role is listed below.

For sales roles, the range provided is the role&rsquo;s On Target Earnings (&quot;OTE&quot;) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.</div></div>
Annual Salary:
&pound;375,000 - &pound;640,000 GBP</div></div><div><h2 class="jobSectionHeader">
Logistics</h2>

Minimum education: Bachelor&rsquo;s degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. 
 
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links&mdash;visit anthropic.com/careers directly for confirmed position openings.
<h2 class="jobSectionHeader">
How we're different</h2>

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact &mdash; advancing our long-term goals of steerable, trustworthy AI &mdash; rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
<h2 class="jobSectionHeader">
Come work with us!</h2>

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.</div></div>

Research Engineer, RL Scaling Science

Thomson Reuters

<div>
 Join a cutting-edge research team working to deliver on the transformation promises of modern AI. We are seeking Machine Learning Research Engineers with the skills and drive to build and conduct experiments with advanced AI systems in an academic environment rich with high-quality data from real-world problems.
 
 
 Foundational Research is the dedicated core Machine Learning research division of Thomson Reuters. We are focused on research and development, with a particular focus on advanced algorithms and training techniques for Large Language Models (LLMs). We are expanding our strong foundation of research capabilities across different areas and are looking for engineers who participate in designing, coding, conducting experiments, and translating findings into concrete deliverables.
 
 
 
 Our Focus Areas Are
 
 
 
 <ul>
 <li>
 LLM Training (Continued pretraining, instruction tuning, reinforcement learning, distributed training, efficient ML techniques)
 </li>
 <li>
 Post-training techniques for planning, reasoning &amp; complex workflows (e.g., reasoning models, LLMs + knowledge graphs, test time compute, CoT pipelines, tool use &amp; API calling, etc.)
 </li>
 <li>
 Data-centric Machine Learning (Synthetic data, curriculum learning, learned data mixtures, etc.)
 </li>
 <li>
 Evaluation (Benchmarking best practices, humans/LLMs as a judge, red teaming/adversarial testing, hallucination detection, etc.)
 
 
 </li>
 </ul>
 We work collaboratively with TR Labs (TR's applied research division), academic partners at world-leading research institutions, and subject matter experts with decades of experience. We experiment, prototype, test, and deliver ideas in the pursuit of smarter and more valuable models trained on an unprecedented wealth of data and powered by state-of-the-art technical infrastructure. Through our unique institutional experience, we have access to an unprecedented number of subject matter experts involved in data collection, testing and evaluation of trained models.
 
 
 As an ML Research Engineer, you will play a key part in a diverse global team of experts. We hire world-leading specialists in ML/NLP/GenAI, as well as Engineering, to drive the company's leading internal AI model development. You will have the opportunity to contribute to our proprietary AI model research &amp; development through rapid prototyping, scalable infrastructure, and production-quality implementations, and to research papers in top tier academic conferences and journals.
 
 
 
 About The Role
 
 
 
 In this opportunity, as an ML Research Engineer you will:
 
 
 <ul>
 <li>
 Build: You will design and implement robust, scalable systems for training and evaluating large language models. You'll build data pipelines for data-centric research, training infrastructure for instruction fine-tuning (IFT), Direct Preference Optimization (DPO), and reinforcement learning workflows, evaluation frameworks for comprehensive model assessment, and infrastructure for agentic workflows that enables researchers to iterate quickly and effectively.
 </li>
 <li>
 Innovate: You will work at the very cutting edge of AI Research at an institution with some of the richest data sources in the world. Through your work, you will rapidly implement novel research ideas in LLM training, evaluation, agentic systems, and data processing, transforming them into production-ready systems and research publications. You will contribute to advancing the state-of-the-art in data-centric ML by building tools that help us make the best use of our unprecedented data resources.
 </li>
 <li>
 Experiment and Develop: You are involved in the entire research &amp; model development lifecycle, brainstorming, coding, testing, and delivering high-quality implementations that support cutting-edge research. You'll build pipelines for synthetic data generation, automated evaluation systems, training workflows for various fine-tuning approaches, and agent-based workflows that push the boundaries of what's possible with LLMs.
 </li>
 <li>
 Collaborate: Working on a collaborative global team of research engineers and scientists both within Thomson Reuters and our academic partners at world-leading universities. You'll work closely with researchers to understand their needs and translate cutting-edge research papers into practical, scalable implementations.
 </li>
 <li>
 Communicate: Actively engage in sharing technical implementations and best practices with the wider team through code reviews, documentation, technical presentations, and knowledge sharing sessions. Contribute to internal research discussions and stay current with the latest developments in LLM training, evaluation, agentic AI, and data-centric machine learning.
 
 
 </li>
 </ul>
 
 About You
 
 
 
 You're a fit for the role if your background includes:
 
 
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Engineering, or a relevant discipline (or equivalent practical experience)
 </li>
 <li>
 3+ years of hands-on experience building ML/NLP/AI systems with strong software engineering practices
 </li>
 <li>
 Demonstrated expertise in building production-quality code and data pipelines for ML systems
 </li>
 <li>
 Proficiency in modern AI development frameworks including: PyTorch, Jax , HuggingFace Transformers, LLM APIs (litellm etc) and vLLM for building and deploying large-scale AI applications
 </li>
 <li>
 Understanding of LLM training methodologies including instruction fine-tuning, preference optimization, and reinforcement learning approaches
 </li>
 <li>
 Strong software engineering skills including version control, testing, CI/CD, and code quality practices
 </li>
 <li>
 Hands-on experience with experiment tracking and orchestration tools such as clearml, Weights &amp; Biases, MLflow.
 </li>
 <li>
 Experience with distributed computing frameworks and large-scale data processing (e.g., Ray, Spark, Dask)
 </li>
 <li>
 Excellent communication skills to collaborate with researchers and translate research ideas into robust implementations
 </li>
 <li>
 Self-driven attitude with genuine curiosity about ML research developments
 </li>
 <li>
 Comfortable working in fast-paced, agile environments, managing the uncertainty and ambiguity of genuinely novel research
 
 
 </li>
 </ul>
 
 Helpful Qualifications
 
 
 
 <ul>
 <li>
 Track record of ML impact in the form of releases, publications or contributions to open source ML libraries or frameworks (especially in training, evaluation, data processing, or agent systems)
 </li>
 <li>
 Experience building and maintaining ML training infrastructure and data pipelines at scale
 </li>
 <li>
 Extensive experience with LLM training techniques such as instruction fine-tuning (IFT), Direct Preference Optimization (DPO), Proximal Policy Optimization (PPO), or other RLHF methods
 </li>
 <li>
 Hands-on experience implementing and scaling supervised fine-tuning, preference learning, and reinforcement learning pipelines for LLMs
 </li>
 <li>
 Experience building LLM evaluation frameworks, benchmarking systems, or automated testing pipelines
 </li>
 <li>
 Hands-on experience with agentic workflows, tool-using AI systems, or multi-agent coordination (examples include: langgraph, AutoGPT, LLamaIndex)
 </li>
 <li>
 Experience with data-centric ML approaches including synthetic data generation, data curation, or curriculum learning pipelines
 </li>
 <li>
 Experience training large-scale models over distributed nodes with cloud tools such as AWS, MS Azure, or Google Cloud
 </li>
 <li>
 Hands-on experience with MLOps, experiment tracking, and model deployment systems
 </li>
 <li>
 Strong interest in staying current with ML research literature and ability to quickly implement novel techniques from academic papers
 </li>
 <li>
 Familiarity with training optimization techniques such as mixed precision training, gradient checkpointing, and efficient attention mechanisms
 </li>
 <li>
 Knowledge of modern ML engineering practices (containerization, orchestration, monitoring)
 
 
 </li>
 </ul>
 
 You Will Enjoy
 
 
 
 <ul>
 <li>
 Learning and development: On-the-job coaching and learning as well as the opportunity to work with cutting-edge methods and technologies.
 </li>
 <li>
 Plenty of data, compute, and high-impact problems: Our scientists and engineers get to explore large datasets and discover new capabilities and insights. Thomson Reuters is best known for the globally respected Reuters News agency, but our company is also the leading source of information for legal, corporate, and tax &amp; accounting professionals. We have over 60,000 TBs worth of legal, regulatory, news, and tax data. We also provide access to significant cloud computing resources for our researchers and engineers.
 </li>
 <li>
 Competitive compensation &amp; benefits packages
 
 
 </li>
 </ul>
 
 What&rsquo;s in it For You?
 
 
 
 <ul>
 <li>
 Hybrid Work Model: We&rsquo;ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected.
 </li>
 <li>
 Flexibility &amp; Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance.
 </li>
 <li>
 Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow&rsquo;s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.
 </li>
 <li>
 Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.
 </li>
 <li>
 Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.
 </li>
 <li>
 Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.
 </li>
 <li>
 Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.
 
 
 </li>
 </ul>
 
 About Us
 
 
 
 Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news.
 
 
 We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.
 
 
 As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace.
 
 
 We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here.
 
 
 Learn more on how to protect yourself from fraudulent job postings here.
 
 
 More information about Thomson Reuters can be found on thomsonreuters.com.
 
 
</div>

Machine Learning Research Engineer (Foundational Research)

Pacific Life

<div>Job Title
AI Engineer
Job Description
Role Summary
Designs, builds, and pilots AI‑enabled solutions that support PL Re business teams through experimentation, rapid prototyping, and value‑led innovation. Operating within the Business &amp; AI team, the role translates business problems into secure, scalable, cloud‑hosted AI solutions suitable for a regulated reinsurance environment. 
The role combines hands‑on AI and full‑stack development with strong engineering judgement, ensuring alignment with PL Re engineering standards, enterprise architecture, and security controls. A key focus is maintaining awareness of emerging AI technologies and applying relevant advances pragmatically.
The role works closely with the Global Experience Analysis (Global EA) engineering team to accelerate AI adoption while ensuring solutions can transition from experimentation into enterprise platforms where appropriate.
Key Responsibilities
AI Solution Design &amp; Delivery<ul><li>
Design, build, and pilot AI‑enabled solutions that address PL Re business problems through experimentation and rapid prototyping.</li><li>
Translate business use cases into secure, scalable, cloud‑hosted AI solutions aligned to enterprise standards.</li><li>
Deliver hands‑on full‑stack and AI development, producing solutions capable of transition into strategic or BAU platforms where appropriate.</li><li>
Design prototypes with explicit consideration for scalability, operability, data governance, and integration pathways if progressed beyond pilot.</li></ul>
AI Research &amp; Innovation<ul><li>
Research, evaluate, and stay current with emerging AI approaches, tools, and techniques.</li><li>
Assess the relevance and applicability of new AI capabilities within a regulated reinsurance environment.</li><li>
Apply insights from research to inform experimentation, solution design, and technical direction.</li><li>
Engineering Excellence &amp; Governance Alignment</li><li>
Ensure adherence to PL Technology engineering standards, architecture principles, and security controls.</li><li>
Partner with Enterprise Architecture and Information Security to meet governance and regulatory expectations.</li><li>
Ensure solutions respect data principles including ownership, lineage, residency, and PII handling.</li><li>
Apply approved integration patterns when accessing platforms, data products, or external services.</li></ul>
Collaboration &amp; Knowledge Sharing<ul><li>
Work alongside the Global Experience Analysis (Global EA) engineering team, sharing cloud and AI engineering insights, patterns, and lessons learned.</li><li>
Act as a bridge between Business &amp; AI experimentation and wider PL Re technology capabilities to accelerate AI adoption consistently across the organisation.</li></ul>
Architecture &amp; Platform Alignment<ul><li>
Contribute to solution architecture designs, including high‑level logical and cloud architectures, for AI use cases progressing beyond experimentation.</li><li>
Align AI solutions with Architecture Governance, PL Re target architectures, approved platforms, integration patterns, and data architecture principles.</li><li>
Identify architectural impacts, dependencies, and technical debt risks arising from AI experimentation.</li></ul>
Skills &amp; Experience 
Essential<ul><li>
Demonstrable experience designing, building, and piloting AI‑enabled solutions, including rapid prototyping and experimentation in partnership with business stakeholders.</li><li>
Strong hands‑on development experience (Python, APIs, modern application architectures).</li><li>
Experience translating business problems into practical, secure, and scalable technical solutions aligned to enterprise standards.</li><li>
Ability to translate business problems into secure, scalable enterprise‑aligned solutions.</li><li>
Experience evaluating and applying AI technologies within regulated or risk‑aware environments.</li><li>
Strong engineering judgement, balancing innovation with operational readiness and control.</li></ul> 
Skills &amp; Experience &ndash; Desirable<ul><li>
Experience with AI, data, and analytics platforms on AWS or Azure, including managed AI or foundation model services.</li><li>
Exposure to actuarial, underwriting, pricing, analytics, or adjacent insurance technology environments.</li><li>
Familiarity with DevOps / DevSecOps practices, including CI/CD pipelines in enterprise settings.</li><li>
Understanding of enterprise architecture principles, target architectures, and design governance processes in large, regulated organisations.</li><li>
Exposure to AI and developer tooling such as OpenAI, AWS Bedrock, Claude, Llama, Azure AI Foundry, Copilot Studio, GitHub Copilot, or similar ecosystems.</li></ul>
Behavioural Competencies<ul><li>
Strong ownership and accountability for delivery outcomes.</li><li>
Clear, confident communication with both technical and non‑technical stakeholders.</li><li>
Ability to lead through influence, setting technical direction and standards without formal authority.</li><li>
Risk‑aware, quality‑driven mindset suited to a regulated financial services environment.</li></ul>
Working For Pacific Life Re
Every person in our global team is valued for the unique qualities they bring to our business and we seek to build their expertise and support their individual ambitions at every step. Of course, we take our work seriously and we know our team can operate under great pressure. We work hard and thrive on achievement, but we also know how to have fun and relax too. We regularly host a range of team building days to strengthen our team's connection with each other and reflect on their successes.
Providing employees with a healthy work-life balance is very important to our culture. We have a wide range of employee benefits and we host regular social activities and well being initiatives. We are also committed to supporting our employee's involvement in their communities, by actively fundraising, hosting charity events and overseeing volunteering opportunities.
Benefits (Only for Permanent and Fixed Term Employees)
Leave
<ul><li>25 days of annual leave with option to buy/sell more days</li><li>
Adoption and fertility leave</li><li>
Generous enhanced parental leave</li></ul>
Healthcare<ul><li>
Comprehensive private insurance coverage for employee and dependents</li><li>
Group Life Insurance coverage of 9x basic annual salary and Group Income Protection up to 75% of basic annual salary</li><li>
Optical benefits</li></ul>
Savings &amp; Retirement<ul><li>
15% combined employee/employer contributions</li></ul>
Wellness<ul><li>
Subsidized gym membership</li><li>
Access to Employee Assistance Program</li><li>
Cycle to Work and Electric Car Salary Sacrifice Scheme</li><li>
Time off for volunteering</li><li>
Charitable matching of employee donations</li></ul>
You Can Be Who You Are
We are committed to a culture of diversity and inclusion that embraces the authenticity of all employees, partners and communities. We support all employees to thrive and achieve their fullest potential.
﻿As part of our commitment to diversity and inclusion, we will provide reasonable adjustments during the recruitment process to ensure equal access to applicants with disabilities. Please contact us about your needs so that we can discuss these with you to make sure that suitable adjustments are made, where possible.
Pacific Life Re Values
Please click here to view our company values</div>

AI Engineer

GLot

<div>We believe no one should be a stranger just because they speak a different language.
Imagine two people, no shared language, talking as easily as old friends. That's exactly what we are building: real-time translation for real-world conversations.
It sounds like it should already exist. It doesn't.<div> 
</div>We're a small, well-funded team in the heart of London, backed by people who built the tech already in your pocket, and we're right at the start. No one has built this before, including us, and that's the best part.
The role
You'll be part of our senior leadership committee - sitting alongside the CEO, Head of Engineering, Head of Product, Head of GTM and Chief of Staff. You own the AI direction, the model architecture, and the long-term technical bets we make on how this product thinks, learns and scales.
This is a founding-level role in everything but title.
What we're looking for<ul><li>
You have deep hands-on experience building and shipping AI models - not just fine-tuning, but understanding what's under the hood</li><li>
You've worked on problems that are genuinely hard - real-time processing, speech, translation, or low-latency inference would be a strong signal</li><li>
You're the kind of engineer who came up through places like DeepMind, top research labs, or early-stage AI teams where the bar was exceptionally high</li><li>
You're curious, sharp and energised by unsolved problems rather than comfortable ones</li><li>
You're someone people trust with decisions that are hard to reverse - you think carefully, communicate clearly, and don't cut corners on what matters</li><li>
You can work independently at a senior level while staying closely aligned with a small, fast-moving team</li></ul>
Compensation<ul><li>
Salary: a competitive salary, benchmarked to the role and your experience. We're happy to discuss specifics early on.</li><li>
Equity: meaningful equity as an early employee.</li><li>
Pension: workplace pension with employer contributions.</li></ul>
What you'll get<ul><li>
Recognition and rewards for great work.</li><li>
All the boring stuff everywhere else provides - 25 days off, pension, the lot.</li><li>
Amazing London offices: two spaces, one floor, 360&deg; views across London. One side is built for collaboration and energy (small talk encouraged). The other is quiet, calm - a low-distraction focus space, always there when you need it.</li><li>
A fully stocked fridge, a proper lounge, and a team that genuinely likes spending time together. Food is taken seriously here.</li><li>
You shape your own environment. Lighting, a desk away from the noise, headphones, a setup that works for you. Just ask.</li><li>
Flexible hours around a small set of shared core hours, plus focus time we actually protect, so you can work when you think best.</li><li>
Ownership and autonomy. If you want to deploy a solution, you don't need five meetings. You just do it.</li><li>
A clear first-month plan and someone you can ask anything, so you're never left guessing what's expected.</li><li>
A team that takes the mission seriously, but not itself - we love socials, passion, and building something we believe in.</li><li>
Benefits are still being shaped - tell us what would make a real difference to your quality of life, and we'll consider it. We mean that.</li></ul><div></div> 
If this sounds like the kind of work you want to do, we'd like to hear from you.
Apply with your CV and an example of something you've made.</div><div></div>

Head of AI

Elixirr Digital

<div>
 Are you passionate about leveraging AI to transform global industries? Do you have a proven track record of working with LLMs and building agentic solutions?
 
 
 Join
 
 Elixirr
 
 as an
 
 AI Engineer
 
 , where you will drive innovation and help shape the future of intelligent systems for clients across industries like banking, insurance, healthcare, telecommunications, consumer goods, and more. We're looking for proactive self-starters who are constantly reading research, applying it, and using AI to improve their processes, fully embracing the technology.
 
 
 At Elixirr Digital, we&rsquo;ve been on the cutting edge of generative AI from the beginning, developing our own platforms and deploying transformative solutions to global clients for several years. Our expertise spans working with early models like BERT to today&rsquo;s leading foundation and open-source models and leading frameworks like LangChain, AutoGen, Swarm, and Crew.ai to build innovative, agentic solutions. From underwriting agents that empower financial professionals to knowledge agents streamlining customer workflows, our solutions are revolutionising industries by embedding AI at their core.
 
 
 If you&rsquo;re excited to work at the forefront of generative AI, helping enterprises transform from the inside out, we want to hear from you. Let&rsquo;s build the future of AI together!
 
 
 
 What will you be doing as an AI Engineer at Elixirr?
 
 
 
 <ul>
 <li>
 Design &amp; implement solutions: architect, design, and develop advanced AI systems with a focus on LLMs and agentic solutions that transform enterprise workflows.
 </li>
 <li>
 Collaborate: work cross-functional experts to deliver AI-driven innovations and mentor Junior Engineers.
 </li>
 <li>
 Drive innovation: work on a mix of internal R&amp;D projects and enterprise-level solutions, building and optimising tools for both internal and client use.
 </li>
 <li>
 Deploy at scale: develop and maintain production-ready AI solutions, ensuring scalability, performance, and reliability.
 </li>
 <li>
 End-to-end life cycle: own and contribute to the entire AI development life cycle, from research and prototyping to deployment and monitoring.
 </li>
 <li>
 Deliver tangible outcomes: help global enterprises achieve measurable impact through solutions like underwriting agents, airport assistants, pharmacy workflow optimisers, and customer due diligence systems.
 
 
 </li>
 </ul>
 
 Competencies &amp; skillset we expect you to have to successfully perform your job:
 
 
 
 
 
 <ul>
 <li>
 Experience with LLMs: hands-on experience working with LLMs, with demonstrated expertise in building and deploying agentic solutions using frameworks such as LangChain, AutoGen, Crew, or Swarm.
 </li>
 <li>
 Bring technical expertise: solid background in programming and past experience in machine learning, with a deep understanding of at least one area such as deep learning, reinforcement learning, fine-tuning, or model development.
 </li>
 <li>
 Think strategically: ability to design and lead AI solutions while also contributing directly to development. Excellent problem-solving, analytical, and critical thinking skills, with a proficiency in applying mathematical principles to analyse, model, and solve complex problems.
 </li>
 <li>
 Focus on outcomes: passion for transforming businesses and delivering measurable results through AI.
 </li>
 <li>
 Collaborate effectively: experience working in cross-functional teams, balancing R&amp;D and production-level work.
 </li>
 <li>
 Innovation-driven: stay ahead of AI trends, continuously innovate by building and refining tools for internal and client use, and actively apply cutting-edge research to improve processes and develop scalable, impactful solutions.
 
 
 </li>
 </ul>
 
 Bonus points if you have:
 
 
 
 
 
 <ul>
 <li>
 Proven track record of leading AI projects from concept to deployment.
 </li>
 <li>
 Strong understanding of the AI development life cycle, with deep expertise in at least one part of the process.
 </li>
 <li>
 Examples of deployed AI systems demonstrating agentic capabilities.
 
 
 </li>
 </ul>
 
 We Could Be a Perfect Fit If You Are
 
 
 
 <ul>
 <li>
 Passionate about technology. You anticipate, recognise, and resolve technical problems using a variety of specialised tools for application development and support.
 </li>
 <li>
 Independent. You are a self-motivated and ambitious individual, capable of managing multiple responsibilities effectively.
 </li>
 <li>
 Problem-solver. You think creatively and find solutions to complex challenges.
 </li>
 <li>
 Creative &amp; outside-the-box thinker. You look beyond blog posts and whitepapers, competitions, and even state-of-the-art benchmarks to solve real-world problems.
 </li>
 <li>
 Communicator. Strong verbal and written communication skills are essential to ensure effective collaboration and timely delivery of results within the team.
 </li>
 <li>
 Proficient in English. We work across continents in a global environment, so fluent English, both written and spoken is a must.
 
 
 </li>
 </ul>
 
 Why join Elixirr?
 
 
 
 <ul>
 <li>
 Global impact: work with top-tier clients across industries, solving real-world challenges with transformative AI solutions.
 </li>
 <li>
 Cutting-edge innovation: develop and deploy AI tools and platforms that redefine what&rsquo;s possible in enterprise AI.
 </li>
 <li>
 Collaborative culture: join a team of innovators passionate about advancing AI while fostering a collaborative, inclusive environment.
 </li>
 <li>
 Diverse projects: tackle a wide range of AI applications, from NLP to reinforcement learning, for use cases as varied as field support for telecom workers and optimising customer workflows in banks.
 </li>
 </ul>
</div>

Elsevier

<div>Senior Data Engineer
Are you passionate about building scalable, high-performance data-driven applications?
 
Do you enjoy turning complex datasets into robust, reliable systems that deliver real business impact? 
 
About the team:
The Search and AI Platform supports core products such as Scopus, ScienceDirect, and AI‑driven research solutions. As a Senior Data Engineer, you will help design, build, and run reliable data pipelines and services that support large‑scale search and analytics use cases. You will work hands‑on while also supporting and guiding other engineers.
About the role:
The Search and AI Platform is Elsevier&rsquo;s agentic data platform, which powers products such as Scopus, ScienceDirect, and our next-generation LLM-powered research systems. The platform utilises agentic services to interrogate our rich knowledge graphs, search and recommendation systems, and our unparalleled collection of research data, delivering insights to the scientific community that enable them to collaborate more effectively, work smarter, and produce high-quality research more efficiently.
Key responsibilities:
<ul><li>Design, build, and maintain scalable data pipelines and services
</li><li>Develop batch and ELT/ETL data workflows for ingesting and processing large datasets
</li><li>Work with technologies such as Python, Java, Spark, SQL, and Airflow
</li><li>Apply good software engineering practices, including testing, documentation, and CI/CD
</li><li>Contribute to cloud‑based systems (AWS), focusing on reliability, monitoring, and automation
</li><li>Collaborate with product, platform, and data science partners to deliver meaningful outcomes
</li><li>Support team learning through code reviews and knowledge sharing.
 </li></ul>Requirements:
<ul><li>Experience working as a data or software engineer on production systems
</li><li>Strong skills in Python and experience with at least one backend language (such as Java)
</li><li>Understanding of data engineering concepts such as data lakes, batch processing, and distributed systems
</li><li>Experience building or operating data pipelines using tools like Spark and Airflow
</li><li>Familiarity with cloud platforms (AWS preferred) and production monitoring
</li><li>Clear communication skills and a collaborative approach to problem‑solving.
</li></ul>Why join us?
Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply.
Work in a way that works for you 
 
We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives and shared parental leave, we will help you meet your immediate responsibilities and your long-term goals.
<ul><li>Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.
</li></ul>Working for you
We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
<ul><li>Comprehensive Pension Plan
</li></ul><ul><li>Generous vacation entitlement and option for sabbatical leave
</li></ul><ul><li>Maternity, Paternity, Adoption, and Family Care leave
</li></ul><ul><li>Flexible working hours
</li></ul><ul><li>Personal Choice budget
</li></ul><ul><li>Internal communities and networks
</li></ul><ul><li>Various employee discounts
</li></ul><ul><li>Recruitment introduction reward
</li></ul><ul><li>Employee Assistance Program (global) 
</li></ul> 
About the business &ndash;
A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education, and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world&rsquo;s grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world. 
We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.
Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here .
Please read our Candidate Privacy Policy .
We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
USA Job Seekers:
EEO Know Your Rights .</div>

Senior Data Engineer

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