data engineer

data scientist

senior data scientist

senior data engineer

lead data scientist

senior data mining analyst

DeepMind

<div><h3 class="jobSectionHeader">Minimum qualifications:</h3><ul>
<li>Bachelor's degree in computer science, electrical engineering, science, mathematics or equivalent experience.</li>
<li>2 years of experience in programming, specifically with Python-based scientific libraries such as JAX, PyTorch, TensorFlow, NumPy.</li>
<li>Experience in developing or implementing machine learning models in a production or research environment.</li></ul> 
<h3 class="jobSectionHeader">
Preferred qualifications:</h3><ul>
<li>Experience with large-scale system design, distributed systems.</li>
<li>Experience in data engineering and visualisation.</li>
<li>C++ or broader programming experience.</li>
<li>Academic research experience in machine learning, publications, or research experience in related fields.</li>
<li>Knowledge of distributed computation for ML, especially in the context of accelerators (e.g. sharding, multi-host computation).</li>
<li>Strong communication skills (via discussion, presentation, technical and research writing, whiteboarding). 
</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.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. 
 
We are pushing the boundaries across multiple domains. Our global teams offer various learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.</div><div><h2 class="jobSectionHeader">
Responsibilities</h2><ul>
<li>Determine how to run research methods with large-scale compute.</li>
<li>Optimize performance through engineering and benchmarking.</li>
<li>Solve key research challenges by designing and running experiments, sharing analyses and proposing next steps.</li>
<li>Integrate engineering expertise into research projects, sharing skills and knowledge with other engineers and researchers.</li>
<li>Design, build, and improve infrastructure for research.</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, Continual Learning, DeepMind

The AA

<div><h3 class="jobSectionHeader">Company Description/ Business Unit</h3>
Location: London (hybrid working 3 office days per week)

Employment Type: Permanent, full time

Additional Benefits: Annual Bonus

Think the AA is just about roadside assistance? Think again.

For over a century, we've been evolving and adapting. Today, as the nation's leading motoring organisation, we offer a wide range of products and services to millions of customers. From roadside assistance to home and motor insurance, and the latest driving technologies, we have it all. As we continue to expand, diversify, and modernise, joining us as a Data Scientist means you'll play a crucial role in our success and be part of this exciting motoring journey.

Our Chief Operating Office (COO) are the backbone of The AA, providing both stability and structure to support growth and innovation. We are the drivers of change.

#LI-Hybrid<h3 class="jobSectionHeader">
This is the job</h3>
Data is one of the AA&rsquo;s biggest opportunities, and we are investing in the tools, platforms and AI capability to use it better. As a Data Scientist, you will help us turn complex data into practical solutions that improve how we forecast demand, optimise workforce deployment and support better decisions across our roadside operation.

This role is particularly focused on demand and supply forecasting, using machine learning to help ensure the right patrol capability is available in the right place at the right time. You will work on real operational challenges linked to national workforce planning, resource optimisation, customer demand, service levels and operational performance.

We are looking for someone who enjoys solving complex, real-world problems with data. You may have gained experience in organisations with large field-based, mobile or nationally deployed workforces, such as logistics, delivery, utilities, transport, airlines, emergency services, mobility or roadside operations. You will bring strong analytical thinking, practical data science capability and the confidence to translate technical insight into meaningful recommendations that help the business make better operational decisions.<h3 class="jobSectionHeader">
What will I be doing?</h3><ul>
<li>Build and deploy statistical models and machine learning solutions to support forecasting, product development, value driver analysis and operational performance.</li>
<li>Use data mining, modelling and algorithmic approaches, including AI and LLM-enabled techniques where appropriate, to solve complex business problems.</li>
<li>Work with data, engineering, architecture and AI Centre of Excellence colleagues to design and embed scalable algorithms into AA platforms, products and channels.</li>
<li>Analyse trends, evaluate scenarios, assess risks and uncover insight that supports better business and customer outcomes.</li>
<li>Explore, onboard and use relevant data sources, ensuring data is appropriate, reliable and aligned to good data governance practice.</li>
<li>Communicate findings clearly through presentations, workshops and stakeholder conversations, translating technical insight into meaningful business recommendations.</li>
</ul><h3 class="jobSectionHeader">What do I need?</h3>
We are looking for someone who can bring:
<ul>
<li>Experience applying data science, machine learning or advanced analytics to demand forecasting, supply forecasting, workforce planning or operational optimisation.</li>
<li>Strong capability in Python, SQL and statistical modelling, with experience building practical models that support business decision making.</li>
<li>Experience working with complex operational data, ideally linked to mobile workforces, field operations, logistics, transport, delivery, utilities, emergency services, airlines, mobility or roadside operations.</li>
<li>The ability to turn ambiguous operational challenges into clear analytical questions, scalable models and actionable recommendations.</li>
<li>Strong communication skills, with the confidence to explain complex analysis clearly to technical and non-technical stakeholders.</li>
<li>An understanding of responsible data use, data quality and governance, with exposure to Databricks, Git, Jira, ML Ops, feature stores or data pipelines being beneficial.</li>
</ul><h3 class="jobSectionHeader">Additional information</h3>
We&rsquo;re always looking to recognise and reward our employees for the work they do. As a valued member of The AA team, you&rsquo;ll have access to a range of benefits including:
<ul>
<li>25 days annual leave plus bank holidays + holiday buying scheme</li>
<li>Worksave pension scheme with up to 7% employer contribution</li>
<li>Free AA breakdown membership from Day 1 plus 50% discount for family and friends</li>
<li>Discounts on AA products including car and home insurance</li>
<li>Employee discount scheme that gives you access to a car salary sacrifice scheme plus great discounts on healthcare, shopping, holidays and more</li>
<li>Company funded life assurance</li>
<li>Diverse learning and development opportunities to support you to progress in your career</li>
<li>Dedicated Employee Assistance Programme and a 24/7 remote GP service for you and your family</li>
</ul>
Plus, so much more!

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

#LI-HH</div>

Data Scientist

<div><h2 class="jobSectionHeader">Description</h2>
<div>
The Principal Microsoft Defender XDR, IRM &amp; Deception Engineer, working within the Global Information and Cyber Security Defence (ICSD) function, is the technical leader for enterprise cyber deception and unified detection and response across the Microsoft security ecosystem. The role focuses on building, operating, and continuously evolving an enterprise-grade Insider Risk Management (IRM) and deception programme - including honeypots, honeytokens, decoy users, decoy devices, deceptive credentials, and breadcrumbs - fully integrated with Microsoft Defender XDR (Defender for Endpoint, Defender for Identity, Defender for Office 365, and Defender for Cloud Apps), Microsoft Sentinel, and Microsoft Security Copilot.

The role exists to detect adversaries earlier in the kill chain by deceiving attackers into engaging with high-fidelity traps, while delivering unified detection, automated investigation, and response across endpoint, identity, email, and cloud workloads. It combines deep deception engineering expertise with hands-on Defender XDR mastery and the use of Agentic AI to drive proactive, intelligence-led, and largely autonomous security operations.

The Role:
<ul>
<li>Deception Engineering Leadership<ul>
<li>Own and lead the enterprise cyber deception programme end-to-end, including strategy, architecture, deployment, operations, and continuous improvement.</li>
<li>Design, deploy, and operate a layered deception fabric across on-premises, hybrid, and multi-cloud environments using honeypots, honeytokens, decoy accounts, decoy devices, deceptive files / shares, and breadcrumbs.</li>
<li>Act as the technical authority for deception engineering and Microsoft Defender XDR across the enterprise.</li>
</ul></li><li>Honeypots, Honeytokens, Decoys &amp; Breadcrumbs<ul>
<li>Design and operate the full deception asset lifecycle, ensuring high-fidelity, low-noise detections that are realistic, attacker-grade, and resilient to evasion.</li>
<li>Deploy and manage Microsoft Defender for Identity deceptive accounts, deceptive devices, and honeytoken accounts across Active Directory and Microsoft Entra ID.</li>
<li>Build and maintain a portfolio of deception assets, including:<ul>
<li>Honeypot systems (low-, medium-, and high-interaction) across on-prem, Azure, AWS, GCP, and OCI</li>
<li>Honeytoken credentials, API keys, OAuth tokens, secrets, and SaaS accounts</li>
</ul></li><li>Decoy users, decoy devices, decoy shares, decoy files, and decoy databases<ul>
<li>Plant attacker-grade breadcrumbs across endpoints, identities, and cloud workloads, including:</li>
<li>Saved credentials, browser cookies, RDP and SSH artefacts</li>
<li>LSASS-resident credentials and cached tokens on selected lures</li>
<li>Fake Kerberos service accounts and SPNs to bait Kerberoasting and AS-REP roasting</li>
</ul></li><li>Continuously evolve deception techniques, lure design, and trap placement aligned to current attacker TTPs, red-team findings, and breach intelligence.</li>
<li>Govern the deception programme with clear standards for asset realism, segmentation, monitoring, and safe operation (no production impact).</li>
<li>Validate deception coverage through red-team, purple-team, and breach-and-attack simulation (BAS) exercises.</li>
</ul></li><li>Microsoft Defender XDR Leadership<ul>
<li>Lead the design, implementation, and optimisation of Microsoft Defender XDR across endpoint, identity, email, and cloud-app workloads.</li>
<li>Integrate all deception signals (honeypot, honeytoken, decoy, breadcrumb) into Defender XDR and Microsoft Sentinel as first-class, high-fidelity detections.</li>
<li>Define and enforce a unified detection and response strategy across the Microsoft security stack.</li>
</ul></li><li>Defender for Identity &amp; Identity Deception<ul>
<li>Lead operation and optimisation of Microsoft Defender for Identity (MDI) to detect identity-based attacks, including:<ul>
<li>Credential theft, Kerberoasting, AS-REP roasting, Pass-the-Hash, and Pass-the-Ticket</li>
<li>Lateral movement, reconnaissance, and privilege escalation</li>
<li>Misuse of deceptive / honeytoken accounts as early-warning tripwires</li>
</ul></li><li>Integrate MDI, deception, and Microsoft Entra ID signals into Defender XDR, Microsoft Sentinel, and SOAR workflows for unified investigation and response.</li>
</ul>
</li><li>Data Protection, DLP &amp; Insider Risk Management
<ul>
<li>Lead the design and implementation of Microsoft Purview Data Loss Prevention (DLP) policies across endpoints, cloud apps, and collaboration platforms</li>
<li>Define and enforce data protection controls to prevent unauthorised data exfiltration and misuse</li>
<li>Leverage Microsoft Insider Risk Management (IRM) to detect risky user behaviour, including data leaks, policy violations, and insider threats</li>
<li>Correlate DLP, IRM, and identity signals with Microsoft Defender XDR to provide unified incident context</li>
<li>Collaborate with Risk, Compliance, and Legal teams to align DLP and insider risk controls with regulatory and business requirements</li>
<li>Continuously optimise detection use cases combining identity, data, and behavioural analytics</li>
</ul></li><li>Endpoint, Email &amp; Cloud App Detection<ul>
<li>Lead detection engineering across the Defender XDR stack, ensuring deception assets are continuously monitored alongside production telemetry:</li>
<li>Microsoft Defender for Endpoint (MDE) - EDR policies, ASR rules, and decoy-device monitoring</li>
<li>Microsoft Defender for Office 365 (MDO) - anti-phishing, Safe Links, Safe Attachments, and honeytoken inboxes</li>
<li>Optimise automatic attack disruption, automated investigation and response (AIR), and self-healing capabilities to:<ul>
<li>Disrupt in-progress attacks at machine speed, including deception-triggered intrusions</li>
<li>Reduce analyst workload through high-confidence automation</li>
<li>Improve coverage for ransomware, BEC, and identity-based attacks</li>
<li>Ensure consistent telemetry ingestion and detection parity across Windows, macOS, Linux, mobile, and deception assets.</li>
</ul></li></ul></li><li>Multi-Cloud Deception &amp; Detection (AWS, GCP, OCI)<ul>
<li>Extend the deception programme and Defender-style detection capabilities consistently across AWS, GCP, and OCI, including:</li>
<li>Cloud honeypots, decoy IAM roles, and honeytoken cloud credentials / API keys</li>
<li>Control-plane, workload, container, and Kubernetes threat detection</li>
<li>Cross-cloud identity and access misuse detection</li>
<li>Ensure consistent detection, deception, and response coverage across hybrid and multi-cloud environments.</li>
</ul></li><li>Automation, Agentic AI &amp; Continuous Improvement<ul>
<li>Drive automation of deception deployment, detection, investigation, and response workflows using Microsoft Sentinel SOAR, Logic Apps, and Microsoft Security Copilot.</li>
<li>Define KPIs and metrics covering deception engagement, detection coverage, and response maturity.</li>
<li>Continuously improve detection, hunting, and deception capabilities to align with emerging threats and adversary tradecraft.</li>
</ul></li><li>Stakeholder Engagement &amp; Technical Leadership<ul>
<li>Lead and grow a team of Defender XDR and Deception Engineers, setting technical direction, standards, and delivery priorities.</li>
<li>Partner with SOC, CTI, Identity, Cloud, and Engineering teams to embed deception and Defender XDR detection into all enterprise platforms.</li>
<li>Provide mentorship and leadership to deception engineers, detection engineers, threat hunters, and SOC analysts.</li>
<li>Communicate deception strategy, detection coverage, residual risk, and security improvements to senior stakeholders.</li></ul></li></ul> 


</div><h2 class="jobSectionHeader">Qualifications</h2>
<div>
What you'll bring:

Required Skills &amp; Experience:
<ul>
<li>Proven experience designing and operating enterprise cyber deception programmes (honeypots, honeytokens, decoy users, decoy devices, breadcrumbs) at scale.</li>
<li>Extensive hands-on experience operating and engineering Microsoft Defender XDR (MDE, MDI, MDO, MDA) in large enterprises.</li>
<li>Deep expertise across the Microsoft security stack, including:<ul>
<li>Microsoft Defender for Identity (MDI) deceptive accounts, deceptive devices, and honeytokens</li>
<li>Microsoft Sentinel (analytics rules, workbooks, hunting, SOAR)</li>
<li>Microsoft Security Copilot, automated investigation &amp; response, and attack disruption</li>
<li>Microsoft Defender for Cloud Apps and Defender for Cloud</li>
</ul></li><li>Hands-on experience with:<ul>
<li>Open-source and commercial deception / honeypot platforms (e.g., Thinkst Canary, T-Pot, Cowrie, OpenCanary, Zscaler Deception)</li>
<li>Advanced KQL for detection engineering and threat hunting at scale</li>
<li>Detection-as-code, CI/CD of detection content, and security content management</li>
</ul></li><li>Strong knowledge of adversary tradecraft and frameworks:<ul>
<li>MITRE ATT&amp;CK, MITRE Engage, MITRE D3FEND, and the cyber kill chain</li>
<li>Experience leveraging Agentic AI, Microsoft Security Copilot, or AI/ML in security operations (detection, hunting, IR, automation).</li>
</ul></li><li>Proven experience leading incident response across identity, endpoint, email, and cloud domains.</li>
<li>Strong scripting / automation experience (PowerShell, Python, or equivalent).</li>
<li>Deep understanding of Zero Trust architecture and identity-centric defence.</li></ul> 


Preferred Qualifications:
<ul>
<li>Experience contributing to red-team / purple-team exercises and breach-and-attack simulation (BAS) programmes.</li>
<li>Microsoft certifications:<ul>
<li>Microsoft Certified: Security Operations Analyst Associate (SC-200)</li>
<li>Microsoft Certified: Azure Security Engineer Associate (AZ-500)</li>
<li>Microsoft Certified: Cybersecurity Architect Expert (SC-100)</li>
<li>Industry certifications (CISSP, GCIA, GCFA, GCIH, OSCP, or equivalent)</li>
<li>Cloud certifications across AWS, GCP, or OCI</li></ul></li> 
</ul>
What we offer:

Enjoy a benefits package designed to help you thrive, both professionally and personally. You'll receive 25 days of annual leave plus an extra WTW day to relax and recharge. Our comprehensive health and wellbeing offering includes private healthcare, life insurance, group income protection, and regular health assessments, all giving you peace of mind. Secure your future with our defined contribution pension scheme, featuring matched contributions up to 10% from the company.

We support your growth and balance with hybrid working options, access to an employee assistance programme, and a fully paid volunteer day to make a difference in your community. On top of these, you can opt into a variety of additional perks including an electric vehicle car scheme, share scheme, cycle-to-work programme, dental and optical cover, critical illness protection, and much more. Start making the most of your career and wellbeing with a range of benefits tailored for you.

Equal Opportunity Employer

We&rsquo;re committed to equal employment opportunity and provide application, interview and workplace adjustments and accommodations to all applicants. If you foresee any barriers, from the application process through to joining WTW, please email candidatehelpdesk@wtwco.com</div></div>

Principal Microsoft Defender XDR & Deception Engineer

HOMETRACK

<div>Hybrid working pattern - 2 days per week from London Bridge Office
Hometrack is seeking an experienced Senior Data Engineer to join our product team to help us deliver Hometrack's Data Services ambitions. By building the best property data sets available, which back the market leading AVM, trusted by 17 out of the top 20 mortgage lenders in the UK, we open the door to helping all our customers make the decisions that matter to them - to buy, to lend, to build.
The Data Services team works with 100s of customers across the property sector ranging from mortgage lenders, house builders, investors, fin &amp; proptech, insurers, telco, retail and utilities, as well as others involved in the housing market. Our mission is to inform decision makers by putting the UK&rsquo;s most trusted property data and insights at the heart of the property ecosystem.
Our market intelligence and customer acquisition, retention and engagement solutions are relied upon by leading industry professionals.
Data Services has a diverse product range covering market, property and mover intelligence, delivered through varying mechanisms including data platforms, reports and APIs, providing maximum flexibility when matching our customers&rsquo; needs to the most effective data solution.
Hometrack is looking for an experienced senior data engineer to help us make this a reality.
What we&rsquo;re looking for in a Senior Data Engineer:<ul><li>
Be accountable for team outcomes, playing your part in achieving team goals and ensuring your contribution positively impacts overall success</li><li>
Be a continual improver, looking for ways to help the team do better and be better, again and again</li><li>
Write maintainable, testable code and enjoy providing code reviews</li><li>
Be experienced with Databricks, Delta Lake and Lakehouse architecture for efficient data management; experience with ETL processes and optimizing data pipelines for performance</li><li>
Be strong in Python, SQL, and PySpark</li><li>
Be passionate about building data products for stakeholders and customers, ensuring they are stable, scalable, secure, accurate, observable, and performant</li><li>
Enjoy collaborating closely with colleagues in Product, Analytics, Security, and Software, explaining technical concepts to non-technical audiences</li></ul></div>

Senior Data Engineer

Navan

<div>We are looking for a Senior Backend Platform Developer to build modern services for Navan's contact center systems. This is a software engineering role first: where you will design APIs, serverless services, data flows, observability tooling, and AI-enabled workflows that support our customer and agent experience.

The contact center is the domain, but the core need is strong development capability. The right person is comfortable building production systems, integrating complex platforms, and using AI-assisted engineering tools to move quickly without sacrificing quality.

What You'll Do:
<ul>
<li>Production-grade Node.js services on AWS Lambda, API Gateway, and event-driven serverless patterns.</li>
<li>Secure APIs and integrations across internal systems, customer data, and third-party platforms.</li>
<li>Technical patterns, implementation standards, and reusable services for the broader contact center systems roadmap.</li>
<li>Observability pipelines using OpenSearch, CloudWatch, Kibana, Snowflake, and structured logging.</li>
<li>Automation and AI-enabled workflows that improve routing, agent support, troubleshooting, and operational visibility.</li>
<li>Migration tooling and services that help move legacy telephony and contact center workflows onto modern platforms, with enough design discipline to support future scale.</li>
</ul>
What We're Looking For
<ul>
<li>5+ years of backend software engineering experience, ideally with Node.js or TypeScript.</li>
<li>Strong API design, system architecture, integration, debugging, and asynchronous systems experience.</li>
<li>Hands-on experience with AWS Lambda or similar cloud/serverless architecture.</li>
<li>Experience with logging, monitoring, search, data pipelines, or production observability.</li>
<li>Practical use of AI coding assistants for development, testing, refactoring, and troubleshooting.</li>
<li>Fluency with GitHub workflows, including pull requests, code review, branching, and CI/CD collaboration.</li>
<li>Senior-level judgment to turn ambiguous operational problems into clean, maintainable technical solutions.</li>
</ul>
Helpful Domain Experience
<ul>
<li>Experience in contact center, telephony, customer support, or workflow automation environments.</li>
<li>Exposure to platforms such as Genesys Cloud, Twilio, Five9, NICE, Zoom Contact Center, or Avaya.</li>
<li>Familiarity with routing, queues, IVR, SIP, phone number management, call metadata, or agent-assist workflows.</li>
<li>Experience with Snowflake SQL, Terraform, CloudFormation, AWS SAM, or related infrastructure tooling.</li>
</ul>
This senior role will help Navan modernize the technical foundation behind our contact center environment. The work includes legacy platform migration, improved reliability and observability, AI-enabled automation, and new services that make our customer and agent experiences faster, smarter, and easier to operate.</div>

Senior Backend Platform Developer, Contact Center Systems

Talan

<div>Company Description 
Talan Data x AI is a leading Data Management and Analytics consultancy, working closely with leading software vendors and top industry experts across a range of sectors, unlocking value and insight from their data. At Talan Data x AI, innovation is at the heart of our client offerings, and we help companies to further improve their efficiency with modern processes and technologies, such as Machine Learning (ML) and Artificial Intelligence (AI). 
Job Description 
As our AI practice grows, we are looking for a capable, hands-on AI Engineer to help build and deliver the solutions at the heart of our client work. Coming from a data science background, you are equally comfortable applying proven machine-learning techniques to traditional analytics problems and working with the latest generative AI (large language models, retrieval-augmented generation, and agent-based applications). You enjoy building, you write dependable code, and you turn well-defined designs into working software.
This is a delivery-focused role that sits a level below our Lead Data Scientists. You will own meaningful workstreams within a project rather than the whole engagement, working to an architecture and plan shaped by more senior colleagues. In return, you will gain breadth across modern AI, exposure to real client problems,
You will also be a supportive presence within the team, helping your peers solve problems, sharing what you learn, and giving day-to-day guidance to graduate and junior resources working alongside you.
Required skills &amp; experience:<ul><li>
Build, test, and deploy AI and machine learning components within client projects to the standards and designs set by senior colleagues.</li><li>
Develop GenAI and LLM-based features (prompting, retrieval-augmented generation, and simple agentic workflows) alongside more traditional ML models.</li><li>
Deliver classical data science tasks (data preparation, feature engineering, model training, and evaluation) on projects that call for them.</li><li>
Translate solution designs into clean, well-documented, production-minded code.</li><li>
Contribute to model evaluation, testing, and monitoring.</li><li>
Support and guide very junior and graduate resources, reviewing their work and helping them grow.</li><li>
Help peers unblock technical problems and share knowledge across the team.</li><li>
Take part in client and team discussions and communicate your work clearly.</li></ul> 

Qualifications 
To qualify for this role, you must have:
<ul><li>Typically, 2&ndash;4 years' experience in data science, machine learning, or AI engineering.</li><li>
Solid grounding in core data science and machine learning.</li><li>
Practical experience with LLMs and generative AI, including prompting and RAG.</li><li>
Familiarity with how AI agents are built and orchestrated.</li><li>
Strong Python and common data/ML libraries; good engineering habits.</li><li>
Clear communicator and collaborative team player.</li></ul>
Ideally, you&rsquo;ll also have, but not essential:<ul><li>
Exposure to cloud AI platforms, Azure a plus.</li><li>
Experience practicing MLOps and LLMOps.</li><li>
Early experience mentoring junior colleagues.</li><li>
Interest in consulting and client-facing delivery.</li></ul>
You must be:<ul><li>
Willing to work on client sites, potentially for extended periods.</li><li>
Willing to travel for work purposes and be happy to stay away from home for extended periods.</li><li>
Eligible to work in the UK without restriction.</li></ul>
#TalanUK #LI-HB1 
Additional Information 
Compensation &amp; Benefits Package:<ul><li>
BDP Plus &ndash; A reward programme whereby you accrue points to trade against a 3-month paid sabbatical or cash equivalent.</li><li>
25 days holiday + bank holidays.</li><li>
5 days holiday buy/sell option.</li><li>
Private medical insurance.</li><li>
Life cover.</li><li>
Cycle to work scheme.</li><li>
Eligibility for company pension scheme (5% employer contribution, salary sacrifice option).</li><li>
Employee assistance programme.</li><li>
Bespoke online learning via Udemy for Business.</li></ul>
Why join:
This is a role built for momentum, working across the full spectrum of modern AI, learning from senior architects and leads on real engagements, with genuine responsibility from day one and a clear path into a leadership track.</div>

AI Engineer (LLMs, Agents & Applied Data Science)

<div><div><div>Entity:
Technology 
Job Family Group:
IT&amp;S Group 
Job Description:
The Principal Platform Engineer is a senior individual contributor role responsible for defining the strategy and architecture for how bp's portfolio of engineering and data platforms connect, converge, and serve the organisation. This role sits at the intersection of platform engineering and enterprise architecture, providing technical leadership and strategic direction without direct line management.
The role exists to bring coherence to a distributed platform landscape, ensuring that internal engineering platforms, cloud-native infrastructure, and enterprise software-as-a-service (SaaS) solutions are integrated in a consistent, scalable, and well-governed manner. The Principal Platform Engineer is the technical authority on platform integration and convergence, influencing design decisions across teams and functions.
Key Accountabilities<ul><li>
Define and maintain a platform convergence strategy that articulates the current-state landscape, the target architecture, and a credible transition path &mdash; enabling bp's engineering platforms and SaaS solutions to operate as an integrated whole.</li><li>
Lead architectural design and decision-making at the intersection of internal platforms and enterprise SaaS, establishing integration patterns, data contracts, and governance standards that apply consistently across the platform estate.</li><li>
Act as the principal technical authority for platform engineering across the digital delivery organisation, providing expert guidance on platform design, cloud-native patterns, and systems integration to engineering teams and senior stakeholders.</li><li>
Drive resolution of complex cross-platform integration challenges, including identity, data flow, event-driven architecture, and API design &mdash; ensuring that integration decisions are durable, secure, and aligned with enterprise standards.</li><li>
Produce and maintain high-quality architecture strategy documents, reference architectures, and decision records that are accessible to both engineering and executive audiences, building shared understanding of the platform direction.</li><li>
Collaborate with AI engineering, software engineering, and external vendor and partner teams to ensure that platform architecture decisions enable and do not constrain the delivery of business and AI-powered capabilities.</li></ul>
This is a role with organisation-wide technical influence. The successful candidate will work closely with engineering managers, delivery teams, and external partners across a complex, multi-platform environment. The role requires a balance of critical thinking and hands-on technical credibility &mdash; candidates should be comfortable both authoring architecture strategy documents and engaging deeply in technical design discussions.<h1 class="jobSectionHeader">
What you will bring...</h1><ul><li>
Extensive experience in platform engineering (including Kubernetes) and the design, delivery, and operation of large-scale, multi-component platform estates in a cloud-native environment.</li><li>
Proven enterprise architecture capability, including experience producing target-state architecture strategies and navigating complex system landscapes spanning internal platforms and third-party SaaS.</li><li>
Deep knowledge of cloud-native architecture patterns: containerisation and orchestration, service mesh, API gateway design, event streaming, and infrastructure-as-code.</li><li>
Demonstrable experience integrating enterprise SaaS solutions &mdash; including ERP or business application platforms &mdash; with internally developed systems, covering API, identity, and data integration patterns.</li><li>
Track record of operating as a senior technical authority in a large organisation, influencing architecture and engineering decisions at scale without direct management responsibility.</li><li>
Strong communication and documentation skills, with the ability to convey complex architectural concepts clearly to technical peers, delivery teams, and senior business stakeholders.</li><li>
Bachelor's degree or higher in Computer Science, Software Engineering, Systems Engineering, or a related technical subject area or equivalent experience.</li><li>
Familiarity with regulatory and compliance considerations (e.g., data residency, audit logging, access control) as they apply to enterprise platform design.</li></ul>
Desirable Criteria<ul><li>
Familiarity with enterprise data platform architectures, including data mesh, data fabric, or data lakehouse patterns, and how these intersect with application and integration platforms.</li><li>
Prior experience working at the boundary of AI/ML infrastructure and broader platform engineering, including understanding of how MLOps capabilities are hosted and operated within an enterprise platform.</li><li>
Experience engaging with external software vendors and system integrators on integration architecture and platform alignment.</li><li>
Relevant professional certifications in cloud architecture or enterprise architecture (e.g., AWS Solutions Architect Professional, Azure Solutions Architect) are advantageous.</li></ul><h1 class="jobSectionHeader">
Why join us?</h1>
We&rsquo;re committed to supporting leaders who want to make an impact. At bp, you&rsquo;ll have the chance to shape and influence outcomes across businesses. You&rsquo;ll be part of an inclusive environment where diverse perspectives are valued, and where your contribution to performance and integration matters. We invest in the growth and wellbeing of our people, providing the resources, networks, and development opportunities needed to thrive.
Our total rewards package includes competitive pay, bonuses, share options, and a range of flexible benefits designed to meet your needs &mdash; from healthcare and retirement plans to paid time off and agile working. We recognise that people have multifaceted lives, and we strive to offer a career experience that reflects that.
Apply now!
Location
Please note that while this position can be based in our Sunbury office, this will move to Southwark, London by end 2027. 
Travel Requirement
Negligible travel should be expected with this role 
Relocation Assistance:
This role is not eligible for relocation 
Remote Type:
This position is a hybrid of office/remote working 
Skills:
Agility core practices, Agility core practices, API and platform design, Cloud Platforms, Collaboration, Communication, Configuration management and release, Continuous deployment and release, Creating a high performing team, Database Design, Digital Project Management, Documentation and knowledge sharing, Emerging technology monitoring, Facilitation, Information Security, Mentoring, Metrics definition and instrumentation, NoSql data modelling, Problem Solving, Relational Data Modelling, Risk Management, Scripting, Secure development, Service operations and resiliency, Software Design and Development {+ 7 more} 
Legal Disclaimer:
We are an equal opportunity employer. We do not discriminate on the basis of protected characteristics like race, religion, color, sex, national origin, sexual orientation, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp&rsquo;s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please contact us. 
 
If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.</div>
<div>Legal Disclaimer:

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, socioeconomic status, neurodiversity/neurocognitive functioning, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp&rsquo;s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please contact us.

If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.</div>
</div><div>Expand job description</div></div>
 <div><div>Disclaimer 


This is a high-level summary only of terms and current discretionary benefits applicable to certain roles. Some rewards, benefits and policies are at managers&rsquo; discretion and vary depending on where you work within the business. All terms subject to contract and all discretionary benefits subject to policy and eligibility.</div></div>

Principal Platform Engineer

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