software engineer

ai engineer

senior software engineer

platform engineer

ai software engineer

software quality engineer

Arena Entertainment

<div><h2 class="jobSectionHeader"><b>About us</b></h2><p>
Arena Entertainment is a digital entertainment company building online platforms and games since 2021, with brands including MetaWin, WOW Vegas, Hit.com, BetZoo Media and Rolla. We run an AI-first engineering culture: we expect the tools to change every few months, and we hire people who are energised by that rather than tired of it.</p><h2 class="jobSectionHeader"><b>
About the role</b></h2><p>
We build and operate casino games across MetaWin, HIT and our social casino platforms. The role covers three product lines, and you'll work across all of them:</p><ul><li><p>
Slots - our own titles such as Legend of Tartarus, Candy Cash and Rise of Cetus: paytables, bonus rounds, free spins, multiplier ladders and RTP-relevant behaviour.</p></li><li><p>
Crypto originals - Plinko, Roulette, Crash and Prime Dice: on-chain settlement, token precision and provably-fair verification.</p></li><li><p>
Live casino - streamed dealer tables: real-time game state, bet windows, stream quality and third-party provider integrations.</p></li></ul><p>
These are real-money products. When a payout is wrong, it's wrong in someone's wallet so the bar for correctness is higher than most web QA roles, and the interesting problems live below the UI: settlement maths, wallet reconciliation, provably-fair verification, real-time socket traffic, and the network layer where the truth actually lives.</p><p>
You'll join a small games QA function in a senior seat, working alongside our existing QA lead who brings deep domain knowledge of our games, our platform and where the bodies are buried. Senior here means you set the standard: you own test strategy for the titles you take, you decide what gets automated and how, and you're the person the team believes when you say something is or isn't ready to ship.</p><p>
The work is a genuine mix of manual and automated testing, and it stays that way. New builds need someone playing them properly exploratory work is how most of the interesting bugs surface, and live tables in particular have to be sat at and played. Alongside that, we run a Playwright/TypeScript harness with page objects, payout specs and network-intercept probes, with AI-assisted authoring using Claude, and we're actively pushing into agent-driven testing: agents that explore a build, generate and maintain specs, triage failures and cut the regression cost of shipping several titles in parallel.</p><p>
Coverage is still expanding and the AI side is still being invented. You'll have real influence over both, rather than inheriting someone else's finished framework.</p><p>
The roadmap runs several titles in parallel. If you like variety, ownership, and finding the bug nobody else would have caught, this is a good fit.</p><h2 class="jobSectionHeader"><b>
What you'll do</b></h2><h3 class="jobSectionHeader"><b>
Slot testing</b></h3><ul><li><p>
Design and execute test plans for new slot releases, from first playable build through to live production.</p></li><li><p>
Verify win evaluation against the maths spec: symbol combinations, line and ways evaluation, scatter counts, wild substitution checked against the API round response, not the number the reels animate to.</p></li><li><p>
Test bonus and free-spin features end to end: trigger and retrigger conditions, spin counts carrying over, sticky and expanding wilds, feature-buy where offered, and what the feature pays versus what it should.</p></li><li><p>
Exercise multiplier ladders, cascading and tumble wins, progressive and jackpot contributions, and win-cap truncation at the max-win boundary.</p></li><li><p>
Cover bet handling in full: bet levels and coin denominations, min and max stake per currency, autoplay with loss limits and single-win stops, turbo and quick spin, and rapid repeated spins.</p></li><li><p>
Reconcile the wallet on every round balance before and after, insufficient funds mid-autoplay, currency and denomination switching mid-session.</p></li><li><p>
Break the states nobody demos: refresh mid-spin, disconnect mid-bonus, browser back, session resume, network loss during free spins, and a round settled twice.</p></li><li><p>
Validate game history and round replay against what actually happened, including round IDs traceable to the transaction record.</p></li><li><p>
Run long or seeded sessions to sanity-check outcome distribution against expected RTP and volatility, and flag anything that drifts.</p></li><li><p>
Check paytable text against actual behaviour, plus max-win and promotional wording, currency formatting and locale variants.</p></li></ul><h3 class="jobSectionHeader"><b>
Crypto game testing</b></h3><ul><li><p>
Test our crypto originals Plinko, Roulette, Crash, Prime Dice where settlement is on-chain and the maths is the product.</p></li><li><p>
Verify provably-fair mechanics end to end: the pre-committed server seed hash, client seed changes, nonce incrementing per bet, seed rotation revealing the previous seed, and outcomes a player could independently reproduce from the published algorithm.</p></li><li><p>
Test each title's own maths: Plinko row counts, risk levels and multiplier grids; Crash cash-out timing, auto-cash-out and multi-bet; Dice roll-over/under targets against payout multiplier and house edge; Roulette inside, outside and neighbour bets against the payout table.</p></li><li><p>
Validate token precision and rounding per currency decimal places, rounding direction, dust amounts, and the difference between the stored value and the displayed one.</p></li><li><p>
Reconcile the ledger: deposits, bets, wins and withdrawals against both the platform wallet and the chain, including pending, confirmed and late confirming transactions.</p></li><li><p>
Hammer concurrency: double-submitted bets, spam betting, the same account open in two tabs or on two devices, and races between a bet and a balance update.</p></li><li><p>
Probe the limits: minimum and maximum stake per currency, max-win and max-profit caps, and behaviour when a win would exceed the cap.</p></li><li><p>
Test the failure paths that cost money connection dropped at bet submit, bet placed but the response lost, cash-out fired at the instant of a crash and confirm the balance reconciles afterwards.</p></li><li><p>
Verify the bet history and the fairness-verification page tell the same story as the API and the chain.</p></li></ul><h3 class="jobSectionHeader"><b>
Live casino testing</b></h3><ul><li><p>
Test streamed dealer tables end to end, from lobby listing through to a settled round and the transaction that follows it.</p></li><li><p>
Pin down bet-window timing: when the window opens and closes against the server clock, whether a last-instant bet is accepted or rejected cleanly, and what happens to a bet that lands after the cut-off.</p></li><li><p>
Verify game state stays in sync with the studio: dealer action versus client state, the displayed result versus the provider's round result, and a round ID you can trace from the table to the wallet.</p></li><li><p>
Cover the table games properly blackjack split, double, insurance and bet-behind; roulette inside, outside, neighbour and racetrack bets; side bets such as perfect pairs and 21+3 each checked against its own payout rules.</p></li><li><p>
Test chips and controls: denominations per currency, rebet, double, undo, table minimums and maximums, and multi-seat or multi-table play.</p></li><li><p>
Break the real-time layer deliberately: socket dropped mid-round, reconnect, mobile backgrounding, airplane mode, throttled bandwidth, and a frozen stream while the round continues underneath then confirm the balance and outcome are still correct.</p></li><li><p>
Check the stream itself: latency against game state, quality tiers and auto-degradation, audio, fullscreen, orientation change and picture-in-picture, on real devices and in in-app wallet browsers.</p></li><li><p>
Validate third-party provider integrations: lobby listings and live stats, launch token and session handling, currency and limit mapping, error codes, and returning to the lobby cleanly.</p></li><li><p>
Confirm balance sync between our wallet and the provider session, including funds held in a pending round and what happens if the session expires while a bet is live.</p></li><li><p>
Verify round history and video replay match the settled result, and that responsible-gaming limits and jurisdictional blocks apply correctly mid-session, not just at launch.</p></li></ul><h3 class="jobSectionHeader"><b>
Across all three</b></h3><ul><li><p>
Own test strategy for the titles you're responsible for and be accountable for the release call.</p></li><li><p>
Run functional, regression and exploratory testing across desktop, mobile and tablet, on real devices as well as standard browsers.</p></li><li><p>
Check the things regulators and players both care about: responsible gaming controls, bet limits, jurisdictional restrictions and correct behaviour across currencies and locales.</p></li><li><p>
Write and maintain automated tests in our Playwright/TypeScript suite page objects, settlement specs and regression coverage for each new title and raise the bar on how we approach automation as a team.</p></li><li><p>
Drive our AI-assisted and agent-led testing: use AI agents to accelerate test authoring, extend exploratory coverage, maintain suites against UI churn and triage failures then turn what works into a repeatable practice the rest of the team can use.</p></li><li><p>
Judge where AI helps and where it doesn't. Agent-generated coverage still has to be reviewed, and a confident wrong answer about a payout is worse than no answer.</p></li><li><p>
Support UAT and monitor titles after release verify fixes in production, and help triage live incidents when something behaves unexpectedly with real money on the table.</p></li><li><p>
Raise clear, reproducible bugs in Jira and drive them to resolution with product owners and developers.</p></li><li><p>
Investigate mobile stability issues crashes, memory pressure, rendering failures and get to a root cause rather than a workaround.</p></li><li><p>
Spot patterns across the portfolio. A defect that appears in four games usually isn't four bugs.</p></li><li><p>
Mentor and set standards. As the QA function grows, how we test is partly your design.</p></li><li><p>
Communicate release readiness honestly: what's tested, what's risky, what isn't ready.</p></li></ul><h2 class="jobSectionHeader"><b>
What we're looking for</b></h2><h3 class="jobSectionHeader"><b>
Essential</b></h3><ul><li><p>
5+ years in QA on web or mobile products, with real ownership of test strategy rather than just execution.</p></li><li><p>
Hands-on experience testing at least one of our three core areas slots, crypto/originals games, or live casino and the appetite to own all three.</p></li><li><p>
Comfortable testing real-time, event-driven products: websocket traffic, state sync, timing windows and recovery after a dropped connection.</p></li><li><p>
Strong hands-on automation with Playwright, Cypress or Selenium, and genuine comfort in TypeScript or JavaScript. You don't need to be a developer, but you should be able to design, maintain and refactor a suite yourself and explain your choices this is the area where we want you to make us better.</p></li><li><p>
Real enthusiasm for AI-assisted testing, and hands-on use of AI tooling in your own workflow writing specs, generating test data, triaging failures, reviewing coverage. We want someone who has already started, not someone who intends to.</p></li><li><p>
An appetite for learning that shows in your history. This space is moving faster than any of us can keep up with; we want the person who reads the changelog, tries the new thing on a real problem, and tells the team what actually worked.</p></li><li><p>
The instinct to verify against the source of truth. If the balance on screen says one thing and the API response says another, you already know which one you trust.</p></li><li><p>
An understanding of why floating-point arithmetic and money don't mix.</p></li><li><p>
Strong exploratory testing the ability to break something that passed every scripted test.</p></li><li><p>
Experience testing across multiple browsers, devices and screen sizes.</p></li><li><p>
Confident with Jira and TestRail (or equivalents), and able to write a bug report a developer can act on without a follow-up conversation.</p></li><li><p>
Able to work independently in a small team, comfortable saying when something isn't ready to ship, and able to hold that line with a product owner.</p></li></ul><h3 class="jobSectionHeader"><b>
What will set you apart</b></h3><ul><li><p>
Experience running AI agents as part of testing agents that assist you, or agents you've handed a meaningful part of the job to. Agent-driven exploratory runs, self-maintaining or self-healing suites, LLM-generated specs reviewed into the repo, MCP-connected tooling, agentic failure triage. Tell us what you built, what it caught, and where it let you down.</p></li><li><p>
A point of view on the limits: how you validate agent output, how you stop a suite from rotting, what you'd never let an agent decide on its own.</p></li><li><p>
Live casino or live dealer experience, and integration testing against third-party game providers (Evolution, Pragmatic Play Live, Ezugi or similar) lobby, launch, limits, history and replay.</p></li><li><p>
Video streaming QA: latency, degradation, reconnection behaviour.</p></li><li><p>
Experience with real-money, payments, sportsbook, trading or other settlement-critical systems.</p></li><li><p>
Crypto or blockchain exposure wallets, on-chain transactions, token precision.</p></li><li><p>
Familiarity with provably-fair mechanics (server/client seeds, nonces, hash verification).</p></li><li><p>
Casino domain knowledge: RTP, paytables, volatility, bonus mechanics, responsible gaming controls.</p></li><li><p>
Social casino or sweepstakes-model experience.</p></li><li><p>
Cloud device testing (BrowserStack or similar).</p></li><li><p>
CI/CD experience getting a suite to run reliably on every build rather than on demand.</p></li><li><p>
ISTQB / ISEB Foundation or equivalent.</p></li></ul></div>

QA Engineer - Slots, Crypto & Live Casino

Clearwater Analytics (CWAN)

<div><p><b>Job Summary:</b></p><p></p><p><br>
We are seeking a skilled and motivated Senior Software Engineer to join our dynamic team at CWAN. The role joins our Beacon Core Engineering team. The Core team develops large part of Beacon Cloud, just above the Platform abstraction. It deals with the developer tools (SDLC) that we offer to clients and use internally - IDE including Cline integration, Code Review, Test Framework, Release process; also runtime execution - batch scheduler, super computer scheduler, containerization, coding libraries - dependency graph and deal model used by the financial layer and clients directly.</p><p></p><p>
In this role, you will be responsible for designing, building, deploying, and maintaining high-quality code while collaborating with cross-functional teams to enhance our software offerings. This position is ideal for an engineer who is driven by client satisfaction and has a strong commitment to continuous learning and improvement. We use AI agents to speed up development safely and at same time help clients achieve the same.</p><p></p><p><b><br>
Responsibilities</b></p><ul><li>
Design, build, deploy, and maintain quality code that is simple, well-structured, clear, and well-tested.</li><li>
Use AI agents to speed up development and advise others how to use them safely, both clients and internally.</li><li>
Break down and solve complex problems efficiently, utilizing research and collaboration as needed.</li><li>
Communicate effectively across various mediums, with different audiences, and at appropriate times.</li><li>
Implement and maintain multiple levels of automated testing (e.g., unit, integration, contract, end-to-end).</li><li>
Mentor new and less-experienced team members, sharing knowledge and best practices.</li><li>
Lead design and feature discussions, advocating for enhancements in software performance, scalability, reliability, and security.</li><li>
Coordinate with cross-functional teams to ensure successful integration of software applications.</li><li>
Troubleshoot and resolve production incidents promptly and effectively.</li><li>
Understand customer needs and address issues with empathy and a sense of urgency.</li><li>
Undertake any other reasonable activities required by management.</li></ul><p></p><p><b><br>
Required Skills</b></p><ul><li>
Excellent proficiency in Python</li><li>
Experience with TypeScript or Javascript, and Rust would be a strong plus</li><li>
Familiarity with C++ is a plus.</li><li>
Experience in Financial domain is a plus.</li><li>
Strong command of a typed, object-oriented programming language.</li><li>
Deep knowledge of software methodologies, tools, and common architectural patterns.</li><li>
Passion for working in a software-as-a-service environment.</li><li>
Strong focus on client satisfaction and user experience.</li><li>
Excellent teamwork and collaboration skills.</li><li>
Ability to manage time effectively and deliver results within deadlines.</li><li>
Commitment to continuous learning and professional development.</li><li>
Exceptional analytical and problem-solving skills.</li><li>
Proficient in Microsoft Office and other essential computer applications.</li><li>
Attention to detail and strong documentation capabilities.</li><li>
Outstanding verbal and written communication skills.</li><li>
Strong organizational and interpersonal skills.</li></ul><p></p><p><b><br>
Education and Experience:</b></p><ul><li>
Degree in Computer Science or related field.</li><li>
5+ years of software development experience using Python or any other OOP languages.</li></ul></div>

Senior Software Development Engineer

Annapurna

<div>
 Data &amp; AI Engineer
 <br/>
 <br/>
 <p>
  Our client is seeking a pragmatic, hands-on Data &amp; AI Engineer to design, build, and operate AI-powered applications and agents that solve real business problems. You'll join our client's team to enhance existing AI solutions, create new AI capabilities that improve workflows and decision-making, and work closely with business stakeholders and engineers to embed domain expertise into robust, production-grade AI systems.
  <br/>
  <br/>
 </p>
 Key Skills &amp; Experience
 <br/>
 <br/>
 <ul>
  <li>
   <strong>
    Python software development
   </strong>
   - Strong, production-level coding skills to build reliable, maintainable AI services.
  </li>
  <li>
   <strong>
    End-to-end software delivery
   </strong>
   - Experience designing, building, testing, deploying, and operating production-grade systems.
  </li>
  <li>
   <strong>
    AI/LLM application development
   </strong>
   - Hands-on experience creating AI or LLM-based applications used by real users, not just experimenting with consumer tools.
  </li>
  <li>
   <strong>
    AI system lifecycle
   </strong>
   - Exposure to prototyping, data preparation, evaluation, deployment, monitoring, and continuous improvement of AI systems.
  </li>
  <li>
   <strong>
    AI evaluation and metrics
   </strong>
   - Ability to design and run evaluations, and measure model/agent quality, reliability, safety, and business impact.
  </li>
  <li>
   <strong>
    Working with multiple model providers
   </strong>
   - Understanding of different model families, trade-offs in latency, cost, context limits, and deployment constraints.
  </li>
  <li>
   <strong>
    Prompt and agent design
   </strong>
   - Experience treating prompts and agent instructions as versioned, testable software artifacts.
  </li>
  <li>
   <strong>
    Systems integration
   </strong>
   - Integrating AI with APIs, enterprise applications, data platforms, and both structured and unstructured data.
  </li>
  <li>
   <strong>
    Advanced AI techniques
   </strong>
   - Familiarity with retrieval-augmented generation, tool calling, structured outputs, agent orchestration, and workflow automation.
  </li>
  <li>
   <strong>
    Model adaptation foundations
   </strong>
   - Understanding when to use prompting, retrieval, fine-tuning, and how to prepare and evaluate data and models for post-training.
  </li>
  <li>
   <strong>
    Business and data understanding
   </strong>
   - Ability to grasp complex workflows, rules, and processes, and translate them into AI-enabled solutions.
  </li>
 </ul>
</div>


Data & AI Engineer

National Grid

<div><div><div><div><div><div><div>Team</div>
<div><b>Information Technology and Digital</b>
</div><div>Business Unit</div>
<div><b>IT and Digital</b>
</div><div>Requisition No.</div>
<div><b>10530</b>
</div><div><div>City</div>
<div><b>London, GB, WC1A 2TH</b>
</div><div><b>Warwick, GB, CV34 6DA</b>
</div></div><div>Date posted</div>
<div><b>27 August 2026</b></div></div></div><p></p><div><br>
</div></div><div></div><div><h1 class="jobSectionHeader"><b>Senior AI Full Stack Engineer</b></h1><div><div><div><div><br>
</div><div><p>At National Grid, we keep people connected and society moving. But it&rsquo;s so much more than that. National Grid supplies us with the environment to make it happen. As we generate momentum in the energy transition for all, we don&rsquo;t plan on leaving any of our customers in the dark. So, join us as a <b>Senior AI Full Stack Engineer </b>and find your superpower.</p>
<p>This is a senior design role for someone who can operate across product design, AI-assisted delivery, strategic discovery and hands-on product development. The role is not limited to producing design artefacts or handing over designs to engineering. It is expected to work directly with product owners, engineers, data teams and senior stakeholders to turn ambiguous strategic intent into usable, valuable and deliverable product experiences.</p>
<p>An immediate focus for the role is the Strategic Review platform: National Grid&rsquo;s internal tool for programme visibility, strategic initiative tracking and executive-level data storytelling. The platform includes a proof-of-concept Connections Dashboard moving toward production, a financial reporting capability being scoped, and an evolving AI layer that will support analysis and chat against underlying data.</p>
<p>The Senior AI Product Designer will be responsible for the design quality, user experience and interaction model of these AI-enabled products. They will work across discovery, prototyping, interface design, design-system alignment, AI interaction design, and &mdash; where appropriate &mdash; AI-assisted front-end implementation. The role is expected to help collapse the gap between design intent and working software, using AI tools to move quickly from concept to tested, usable product experiences.</p>
<p>This role is for someone who can operate with senior autonomy: absorbing ambiguous problems, shaping them into clear product direction, creating high-quality design outputs, and partnering closely with engineering to make sure what is shipped is not only functional, but genuinely usable and valuable.</p>
<p><b>This role operates under a hybrid working model and is based out of the Warwick,UK office. Hybrid work expectations are subject to business needs and company polic</b></p>
</div></div><div><div><h3 class="jobSectionHeader"><b>Job Purpose</b></h3>
</div><div><p>We are looking for an AI Engineer to help design, build and operate AI-enabled internal products and platforms across National Grid.</p>
<p>This is a hands-on senior engineering role for someone who can move confidently between modern web application development and applied AI engineering. The role is not focused solely on model development or experimentation. It is responsible for turning AI capabilities into secure, maintainable and production-ready products that solve real organisational problems.</p>
<p>An immediate focus is the Strategic Review platform: National Grid's internal tool for programme visibility, strategic initiative tracking and executive-level data storytelling. The platform includes a Connections Dashboard moving toward production, a financial reporting capability being scoped, and an evolving AI layer supporting analysis and conversational access to underlying data.</p>
<p>The AI Engineer will develop this AI layer and the wider product capabilities around it. This includes building chat interfaces, agentic workflows, tool integrations, structured outputs, retrieval and grounding mechanisms, evaluation frameworks, observability, and appropriate human-in-the-loop controls.</p>
<p>The role requires strong experience with TypeScript, React and modern full-stack web development. Experience with the Vercel AI SDK is particularly valuable, including streaming interfaces, tool calling and agent orchestration. Payload CMS experience is a significant advantage because it is used extensively across the platform.</p>
<p>This role is for someone who can operate with senior autonomy: understanding ambiguous requirements, shaping sound technical approaches, delivering high-quality software and working closely with product, design, data, architecture and security teams to take AI products from proof of concept into production.</p>
</div></div><div><div><h3 class="jobSectionHeader"><b>What You'll Do
</b></h3></div><div><div><h4 class="jobSectionHeader"><b>AI Product Development</b></h4>
<ul><li>Design and develop full-stack AI applications using TypeScript, React, and modern web technologies.</li>
<li>Build conversational interfaces with streaming responses, intuitive user experiences, and robust error handling.</li>
<li>Develop AI solutions using frameworks such as Vercel AI SDK, LangGraph, LangChain, or similar platforms.</li>
<li>Translate business requirements into scalable, maintainable technical solutions.</li>
<li>Create reusable patterns for AI chat, workflow automation, content generation, and analytics.</li>
<li>Integrate AI capabilities into existing products and business processes.</li>
<li>Ensure high standards of performance, security, accessibility, maintainability, and code quality.</li>
</ul><h4 class="jobSectionHeader"><b>Agentic Systems &amp; Conversational AI</b></h4>
<ul><li>Design and implement AI agents capable of multi-step reasoning, tool selection, and workflow execution.</li>
<li>Develop integrations with enterprise applications, APIs, and approved data sources.</li>
<li>Define agent state, memory, context management, validation rules, retry logic, and failure handling.</li>
<li>Implement human-in-the-loop approval processes for sensitive or high-impact actions.</li>
<li>Ensure transparency through source attribution, execution tracking, and auditability.</li>
</ul><h4 class="jobSectionHeader"><b>AI Quality, Evaluation &amp; Observability</b></h4>
<ul><li>Develop evaluation frameworks, test datasets, and quality metrics for AI features.</li>
<li>Monitor answer quality, groundedness, tool usage, latency, output accuracy, and operational cost.</li>
<li>Implement logging, tracing, monitoring, and observability capabilities for AI workflows.</li>
<li>Continuously improve prompts, models, tools, and workflows through data-driven feedback.</li>
<li>Manage prompts, model configurations, and evaluation criteria as version-controlled assets.</li>
</ul><h4 class="jobSectionHeader"><b>Data &amp; Integration</b></h4>
<ul><li>Integrate AI capabilities with structured and unstructured enterprise data sources.</li>
<li>Implement retrieval, grounding, and context-engineering strategies to improve response quality.</li>
<li>Build secure integrations with APIs, content management systems, data platforms, and business applications.</li>
<li>Ensure compliance with data security, authorization, governance, and audit requirements.</li>
<li>Support source attribution, data lineage, and information freshness controls.</li>
</ul><h4 class="jobSectionHeader"><b>Engineering &amp; Delivery</b></h4>
<ul><li>Write clean, tested, maintainable code following established engineering standards.</li>
<li>Participate in architecture reviews, technical design discussions, and code reviews.</li>
<li>Implement automated testing across applications, integrations, and AI workflows.</li>
<li>Support continuous delivery while managing technical debt and maintaining enterprise standards.</li>
<li>Establish best practices for AI-assisted development tools, including GitHub Copilot, Claude Code, and related platforms.</li>
</ul><h4 class="jobSectionHeader"><b>Collaboration &amp; Leadership</b></h4>
<ul><li>Partner with Product, Design, Architecture, Security, Data, and Engineering teams.</li>
<li>Provide technical expertise throughout discovery, design, development, testing, deployment, and adoption.</li>
<li>Communicate technical recommendations, trade-offs, and risks to stakeholders.</li>
<li>Mentor engineers and contribute to AI engineering standards and best practices.</li>
<li>Help establish scalable frameworks for enterprise AI product delivery.</li>
</ul></div></div></div><div><div><h3 class="jobSectionHeader"><b>What You'll Get
</b></h3></div><div><ul><li>Proven experience as a senior Software Engineer, AI Engineer, Full-Stack Engineer or equivalent, delivering complex digital products.</li>
<li>Strong professional experience with TypeScript and React.</li>
<li>Experience building modern full-stack web applications using frameworks such as Next.js.</li>
<li>Practical experience building AI-enabled product features, not only isolated model experiments or notebooks.</li>
<li>Experience with the Vercel AI SDK or comparable AI application frameworks.</li>
<li>Experience building conversational or chatbot interfaces, including streaming responses and interaction-state management.</li>
<li>Understanding of agentic systems, tool calling, structured outputs and multi-step AI workflows.</li>
<li>Experience integrating large language models with application data and external services.</li>
<li>Ability to design clear boundaries between deterministic code and model-driven behaviour.</li>
<li>Strong understanding of API design, authentication, authorisation and secure data handling.</li>
<li>Experience testing and debugging asynchronous, distributed or integration-heavy application behaviour.</li>
<li>Understanding of AI evaluation, observability, grounding and common failure modes.</li>
<li>Ability to translate ambiguous product requirements into sound technical designs and working software.</li>
<li>Strong engineering judgement, including the ability to balance delivery speed with maintainability and operational risk.</li>
<li>Comfortable working in a fast-moving, cross-functional team where product, design and engineering decisions are made collaboratively.</li>
<li>Clear written and verbal communication with both technical and non-technical audiences.</li>
<li>High degree of autonomy and ownership from discovery through production support.</li>
</ul></div></div><div><div><h3 class="jobSectionHeader"><b>What You'll Get</b></h3>
</div><div><ul><li>Competitive Salary: circa &pound;65,000 - &pound;80,000 per annum (dependent on location, capability, and experience).</li><br>
</ul><p><br>
<b>Additional benefits:</b><br>
<br>
</p><ul><li>Flexible benefits such as a cycle scheme, share incentive plan, technology schemes</li>
<li>Ongoing career development and support to help you cover the cost of professional membership subscriptions, course fees, books, examination fees and time off for study leave &ndash; so long as it is relevant to your role</li>
<li>Access to apps such as digital GP service for round the clock access to GP video consultations and NHS repeat prescriptions, wellbeing app to support your health and fitness</li>
<li>Access to Work + Family Space, providing support and resources for work and family life, including paid emergency childcare and eldercare</li>
</ul><p>#LI-RK1 #LI-HYBRID</p>
</div></div></div><p>We value diversity and are committed to creating an inclusive workplace for all. We welcome applications from all suitably qualified candidates &ndash; we make appointments purely on merit, assessed against objective selection criteria. We support flexible working and will make reasonable adjustments throughout the recruitment process should you have any physical or mental impairment which may affect your ability to participate in the process.</p>
<p>Please note that in most cases, National Grid is unable to offer sponsorship for employment under the UK points-based immigration system. As such, applicants must have the legal right to work in the UK without requiring sponsorship now or in the future under the UK points-based immigration system. However, in exceptional circumstances where there is a clear and demonstrable need for specialist skills that cannot be sourced from the local labour market, National Grid may consider offering sponsorship. All applications are welcome from candidates who meet these requirements, regardless of race, nationality, or ethnic origin.</p></div></div></div></div></div><div></div>

Senior AI Full Stack Engineer

Catapult Sports

<div><p><b>Senior Software Engineer (Java/Angular)</b></p><br>
<p>
Catapult is building the future of sports performance technology, with a mission to <b>Unleash the Potential</b> of every athlete and team on earth. We don't just work in the sporting industry; we are actively changing it. Since 2006, our solutions have been leading the way in sports performance software, science, and data, in a world where 1% can literally mean the difference between winning and losing.</p>
<p>
We work with over 5,000+ teams around the world, empowering coaches, managers and trainers in premier teams in the NFL, NBA, NHL, MLS, EPL, AFL, NRL, NCAA and more. We provide the information they need to optimize athletes' health, game-day readiness, and performance, as well as in-game tactics.
</p><p>Catapult is a sports technology company that empowers professional teams to make data-driven decisions. We deliver health, performance, video, and AI insights from the locker room to competitive environments, ensuring every decision is an opportunity to gain an advantage, sharpen performance, and build lasting success.</p>
<h3 class="jobSectionHeader"><b>
WE WANT PEOPLE WHO ARE PASSIONATE ABOUT STATE OF THE ART TECHNOLOGY</b></h3>
<p>
We are looking for a talented and inquisitive <b>Senior Software Engineer</b> whose drive for learning and determination for continuous improvement aligns with our ambitious, fast-growing and transforming company.</p>
<p>
Based in London, you will be a key player in designing, building, and evolving our web-based football analytics platform. Working across backend services and frontend UX/UI, you will contribute to a broad range of product capabilities that help professional football teams analyse and work with complex performance data in an intuitive and effective way.</p>
<p>
As a Senior Software Engineer, you will take ownership of features from design through implementation and deployment, contribute to technical decisions, and continuously improve the quality of our code, architecture, and development practices. You will work closely with Product and other engineering teams to turn product requirements into reliable, high-quality software that delivers real value to our customers.</p>
<h3 class="jobSectionHeader"><b>
WHAT YOU'LL DO</b></h3>
<ul><li>Contribute substantially to the design, implementation and maintenance of efficient, reusable and reliable code to solve a variety of customers' needs while considering existing technology, architecture and processes</li>
<li>Help drive code quality, organisation and best practices throughout the entire development process and in coordination with team objectives</li>
<li>Actively participate in team engineering processes, design meetings and code reviews with the view of continuously lifting quality and improving</li>
<li>Contribute to our test strategy by helping define test cases, authoring unit tests and driving automation wherever appropriate</li>
Bring a growth mindset to every task <li>- sharing ideas and opinions with an attitude and appetite for improvement; the ability to challenge, pursue outcomes and take ownership of tasks in a collaborative environment</li>
</ul><h3 class="jobSectionHeader"><b>WHAT YOU'LL NEED</b></h3>
<ul><li>7+ years of professional software engineering experience, designing, building, and operating production grade applications and services</li>
<li>Strong experience with Java / Spring Boot and a modern JavaScript / TypeScript framework such as Angular or React</li>
<li>Experience with Kotlin is a plus, but not required</li>
<li>Strong experience with PostgreSQL, including data modelling, query design, and performance optimization</li>
<li>Strong understanding of API design, distributed systems, and client server architectures</li>
<li>Experience with automated testing, continuous integration, continuous deployment, and release automation</li>
<li>Ability to take ownership of features and technical solutions from architecture and implementation through to production and ongoing operation</li>
<li>Knowledge of Capacitor, Electron, RxDB, or offline capable application development is a plus</li>
</ul><h3 class="jobSectionHeader"><b>WHAT YOUR SUCCESS WILL LOOK LIKE</b></h3>
<ul><li>I<b>n 6 months:</b> You'll be confidently delivering features across our web analytics platform, contributing across backend services and frontend UX/UI implementation, and shipping high-quality production changes that create real value for our customers.</li>
<li><b>In 12 months</b>: You'll be owning significant features and parts of the platform end to end, leading their technical design and implementation across backend and frontend, and helping shape how our architecture and engineering practices evolve as the product grows.</li>
</ul>
<p><b>WHY CATAPULT?</b></p>
<ul>
<li>We have amazing people. We promise you'll work with some of the most ambitious, intelligent people in an exciting industry, and do some of the best work of your life.</li>
<li>We encourage our people to engage in constructive, open, and honest communication to make Catapult extraordinary.</li>
<li>We work in a collaborative yet challenging environment to consistently improve our performance, which in turn impacts our customers' performance.</li>
<li>Our workforce spans more than 20 countries. You'll have the opportunity to work with people from multiple nationalities and cultures, and to build your global awareness.
</li><li>We value improvement and development. We are challenging ourselves to continuously grow and become a high-performance company. That means we maintain a growth mindset in everything we do, and our people are always looking for ways to improve. There is an unlimited opportunity to grow, do more, and do better.</li>
</ul>
<p>Whether you're interested in sports or not, you'll have the satisfaction of knowing your work is supporting some of the most successful teams and athletes on the planet!</p>
<p>
Research shows that while men apply for jobs when they meet an average of 60% of the criteria, women and other marginalized groups tend only to apply when they check every box. So if you have what it takes, but don't meet every single point in our job ad, please still get in touch! We would love to have a chat and see if you could be a great addition to our team. We are building the future of sports performance. Our priority is to find the brightest talent who can add to our team culture, actively contribute, and be excited about what they do.</p>
<p>
All offers of employment are subject to Catapult's positive prehire check. To find out more, please contact the Talent Partner for this role.</p></div>

Senior Software Engineer

<div>
 <p>
  <strong>
   Department:
  </strong>
  Data &amp; AI
 </p>
 <p>
  <strong>
   Location:
  </strong>
  UK - London
  <br/>
  <br/>
 </p>
 <strong>
  Description
  <br/>
  <br/>
 </strong>
 Insurance isn&rsquo;t the first industry most engineers think of when they imagine cutting-edge AI work. That&rsquo;s exactly why this role is interesting.
 <br/>
 <br/>
 CFC&rsquo;s Data &amp; AI unit is building production agentic systems that automate complex underwriting decisions - not chatbots, not copilots bolted onto legacy workflows, but autonomous multi-step AI agents that reason over unstructured data, assess risk, and drive real business outcomes. We&rsquo;re using frameworks like LangChain to orchestrate LLM-driven services that sit at the heart of how the business operates. The problems are genuinely hard: ambiguous inputs, high-stakes decisions, and the kind of domain complexity that makes for satisfying engineering.
 <br/>
 <br/>
 We&rsquo;re also fundamentally rethinking how we deliver software. We&rsquo;re moving toward an agentic-first development model - using AI agents not just in what we build for the business, but in how we build it. The goal is to multiply engineering delivery by an order of magnitude: not by cutting corners or generating throwaway code, but by designing robust systems and processes that let agents handle well-defined work while engineers focus on architecture, design, and the problems that actually require human judgment. This is a deliberate, engineering-led approach. We care about code quality, testability, and maintainability - the agent-generated code meets the same standards as everything else. We expect that a successful candidate will be able to bring their expertise to help guide and refine our agentic development process as it matures - a meaningful opportunity to influence how we work as well as what we ship.
 <br/>
 <br/>
 This is a Senior Machine Learning / AI Engineer role with genuine technical leadership scope. You&rsquo;ll shape the architecture of AI-driven production microservices, own system design decisions, and work at the intersection of traditional software engineering and applied AI. You&rsquo;ll collaborate closely with engineers, data scientists, and product managers in a team that&rsquo;s small enough for your decisions to matter and ambitious enough for the work to stay interesting.
 <br/>
 <br/>
 <strong>
  About the role
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, develop, and maintain business-critical AI agent services.
  </li>
  <li>
   Build tailored agent workflows and services from business requirements, using LangChain and related frameworks with reliable patterns for LLM-driven decision-making in production.
  </li>
  <li>
   Integrate tests and validation to improve AI agents through evals and monitoring.
  </li>
  <li>
   Work with software engineers and architects to lead system design and architectural decisions.
  </li>
  <li>
   Translate technical specifications into clean, testable, and scalable production code.
  </li>
  <li>
   Work closely with cross-functional teams - engineers, data scientists, product managers - to deliver features on time and to a high standard.
  </li>
  <li>
   Write unit and integration tests to maintain reliability and service correctness.
  </li>
  <li>
   Monitor, troubleshoot, and continuously improve production services.
  </li>
  <li>
   Produce clear, structured documentation for systems, architecture, and processes.
  </li>
  <li>
   Mentor junior engineers through code reviews, best-practice guidance, and knowledge sharing.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About you
  <br/>
  <br/>
 </strong>
 We&rsquo;re looking for an experienced AI or Machine Learning Engineer with strong software engineering fundamentals and a passion for building robust, production-ready AI systems. You&rsquo;ll be someone who enjoys solving complex technical problems, making thoughtful architectural decisions and working on systems where quality, reliability and maintainability really matter.
 <br/>
 <br/>
 You&rsquo;ll have:
 <ul>
  <li>
   Significant experience building production-grade AI agents or LLM-powered services.
  </li>
  <li>
   Strong Python development experience, ideally with 6+ years of professional software engineering experience.
  </li>
  <li>
   A track record of writing clean, maintainable and high-quality production code.
  </li>
  <li>
   Experience supporting business-critical systems in live production environments.
  </li>
  <li>
   Strong understanding of asynchronous programming, Docker, containerised deployments and modern service architectures.
  </li>
  <li>
   Experience designing distributed systems, asynchronous microservices and event-driven architectures.
  </li>
  <li>
   Confidence leading system design discussions and making pragmatic architectural trade-offs.
  </li>
  <li>
   Strong cloud experience, ideally within Azure.
  </li>
  <li>
   Experience deploying, monitoring and maintaining ML or LLM models in production.
  </li>
  <li>
   Familiarity with MLOps, LLMOps, evals, monitoring and lifecycle management.
  </li>
  <li>
   Hands-on experience orchestrating LLM workflows using frameworks such as LangChain.
  </li>
  <li>
   An interest in how agentic software development can improve engineering delivery without compromising code quality.
  </li>
  <li>
   Strong communication skills and the ability to collaborate effectively in remote or asynchronous environments.
  </li>
  <li>
   An ownership mindset, with the ability to work independently and contribute effectively to shared codebases.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Core Values
  <br/>
  <br/>
 </strong>
 <strong>
  Love what you do:
  <br/>
 </strong>
 We show up each day ready to take on the world. Our passion and intensity set us apart and makes the difference to our colleagues, customers, brokers and carriers.
 <br/>
 <br/>
 <strong>
  Challenge everything:
  <br/>
 </strong>
 We&rsquo;re never afraid to question the way that things are done and we constantly challenge ourselves and others to makes things better.
 <br/>
 <br/>
 <strong>
  Have fun, be good:
  <br/>
 </strong>
 Insurance is a serious business, but we don&rsquo;t take ourselves too seriously. We make it fun to work at CFC, we welcome all viewpoints, and we treat everyone how we would expect to be treated.
</div>


Senior Machine Learning Engineer

International SOS

<div>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 We are looking for an experienced Senior Machine Learning Engineer to join our Product team, in Chiswick, West London,
 <br/>
 <br/>
 You will be responsible for building production-grade AI capabilities across the platform&rsquo;s generative and agentic paradigms &ndash; from retrieval-augmented knowledge assistants and context-aware responses to multi-step agent workflows. The role combines strong machine learning and software engineering skills to deliver grounded, governed, and scalable solutions that move from Lab prototype to Factory production.
 <br/>
 <br/>
 This is an excellent opportunity for an experienced engineer, looking for their next move in a global organization.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design and implement ML, generative, and agentic AI solutions &mdash; RAG pipelines, prompt workflows, tool-calling agents, and predictive models
  </li>
  <li>
   Build grounded retrieval over enterprise knowledge with source citation and tenant isolation
  </li>
  <li>
   Integrate models via the model gateway, applying guardrails, PII redaction, and content safety on every request
  </li>
  <li>
   Develop and maintain agent orchestration, memory, and human-in-the-loop escalation paths
  </li>
  <li>
   Perform data preprocessing, feature engineering, prompt design, and evaluation using enterprise datasets
  </li>
  <li>
   Deploy solutions through MLOps/LLMOps pipelines with monitoring, evaluations, and SLAs
  </li>
  <li>
   Optimise models and prompts for accuracy, latency, cost, and groundedness
  </li>
  <li>
   Run experiments, track metrics against golden sets, and iterate to improve quality
  </li>
  <li>
   Collaborate with AIOps and Security to integrate solutions into CI/CD and production monitoring
  </li>
  <li>
   Support responsible-AI practices, model cards, and version control for every release
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About You
  <br/>
  <br/>
 </strong>
 6+ years in AI/ML engineering or applied machine learning
 <br/>
 <br/>
 Strong Python skills with scikit-learn, TensorFlow, PyTorch, or XGBoost, plus experience with LLM frameworks (LangChain/LangGraph) and RAG
 <br/>
 <br/>
 Experience with cloud AI services (AWS Bedrock/SageMaker, Azure, or GCP) and vector stores
 <br/>
 <br/>
 Proficiency in SQL and working with data warehouses/lakes and embeddings
 <br/>
 <br/>
 Familiarity with MLOps/LLMOps, containerisation (Kubernetes), and CI/CD
 <br/>
 <br/>
 Understanding of prompt engineering, evaluation harnesses, and guardrails
 <br/>
 <br/>
 Strong grasp of ML theory, software engineering practices, and version control (Git)
 <br/>
 <br/>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Competitive salary and incentive scheme
  </li>
  <li>
   Warm, supportive, and open company culture
  </li>
  <li>
   An opportunity to thrive in a global environment
  </li>
  <li>
   Hybrid working: 3 days in the office
  </li>
  <li>
   Birthday holiday and option to purchase additional annual leave
  </li>
  <li>
   Comprehensive Benefits Package: Private Pension, Private Medical Insurance, Life Assurance and more
  </li>
 </ul>
</div>


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239 software quality engineer jobs In London

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