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Datatonic

<div><h1 class="jobSectionHeader">Head of Learning &amp; Development (Global)</h1>
London, UK
<h2 class="jobSectionHeader">About Datatonic</h2>
Datatonic is a leading global data and AI consultancy, driving business transformation for the world&rsquo;s most ambitious brands. As a premier Google Cloud Partner, we combine cutting-edge technology with top-tier talent to deliver high-impact solutions across Cloud Data Engineering, Analytics, and Advanced Machine Learning/Generative AI.
We don't just implement technology; we foster a continuous learning culture. We are looking for a visionary, commercial, and deeply strategic Head of L&amp;D to own our global learning ecosystem, scaling our internal technical excellence and commercialising our training expertise externally.<h2 class="jobSectionHeader">
Role Overview</h2>
As the Head of Learning &amp; Development (L&amp;D), you will hold a dual-impact global role. Internally, you will shape the skills of our world-class team, ensuring Datatonic remains at the absolute forefront of Google Cloud and AI innovation. Externally, you will drive revenue and market presence by leveraging our internal training products to upsell and deliver high-value educational services to our clients.
You will lead the strategy for upskilling both deeply technical engineering teams and non-technical business functions, ensuring Datatonic is future-ready for the next 1&ndash;2 years of AI disruption.<h2 class="jobSectionHeader">
Key Responsibilities</h2><h3 class="jobSectionHeader">
1. Internal Capability Building &amp; Certification Strategy</h3><ul><li>
Google Cloud Mastery: Design and execute the global strategy to maintain Datatonic&rsquo;s position as a top-tier partner, driving 100% alignment with achieving and maintaining Professional Google Cloud Certifications and Skill Badges across the technical workforce.</li><li>
Future-proof Learning: Build comprehensive curricula in AI and Generative AI. This includes technical deep-dives for data scientists/engineers and practical, impact-driven AI literacy programs for delivery, commercial, and non-technical teams over the next 1&ndash;2 years. It also includes ownership of our &lsquo;Accelerator&rsquo; programs to reskill talent (e.g. our 8-week Software Engineer to AI Engineer program) and creation of new programs to meet our business needs.</li><li>
Role-Based Pathways: Develop clear, continuous learning paths for every role at Datatonic, blending technical mastery with essential consulting, leadership, and delivery skills.</li></ul><h3 class="jobSectionHeader">
2. External Commercialisation &amp; Datatonic Academy</h3><ul><li>
Go-to-Market Strategy: Turn Datatonic&rsquo;s internal L&amp;D excellence into a client-facing revenue driver. Package and commercialise internal training programs and L&amp;D products for our customers.</li><li>
Google Cloud ATP Management: Support our Academy team as a bridge between internal and external propositions. Understand our status as a Google Cloud Authorised Training Partner (ATP), helping to maximise the partnership, and supporting our instructors&rsquo; development to enable continued delivery world-class external training.</li><li>
Customer Education: Collaborate with the sales and delivery teams to position Academy offerings as high-value add-ons or standalone engagements for clients undergoing digital transformation.</li></ul><h3 class="jobSectionHeader">
3. Culture, Engagement &amp; Innovation</h3><ul><li>
Hackathons &amp; Events: Own the strategy, design, and execution of internal and external hackathons, tech-jams, and knowledge-sharing events to foster a vibrant engineering culture.</li><li>
Incentive Programs: Design and manage creative incentive structures (gamification, rewards, recognition) that inspire high engagement with L&amp;D initiatives and certification drives.</li><li>
Content Factory: Oversee the content lifecycle&mdash;from creation to maintenance&mdash;ensuring all learning materials, labs, and documentation are cutting-edge and scalable.</li></ul><h3 class="jobSectionHeader">
4. Early Talent &amp; Special Programs</h3><ul><li>
Apprenticeships &amp; Academies: Own and scale Datatonic&rsquo;s early-career programs, including technical apprenticeships, graduate schemes, and returner programs, ensuring a diverse and robust talent pipeline. This is not an immediate focus but on our roadmap for within 1-2 years.</li><li>
Special Projects: Lead strategic, bespoke training initiatives tailored to emerging market trends or specific regional growth needs.</li></ul><h2 class="jobSectionHeader">
What We Are Looking For</h2><ul><li>
Experience: 5+ years of progressive leadership in L&amp;D, ideally within a fast-paced technology consultancy, MSP, or global digital transformation agency.</li><li>
Commercial Acumen: Proven track record of running L&amp;D as a business unit, with experience commercialising training products or managing a client-facing L&amp;D function.</li><li>
Cloud/AI Literacy: Strong familiarity with the cloud ecosystem (Google Cloud preferred) and a sharp understanding of the current AI and Generative AI landscape. You don't need to write code, but you must speak the language of Data Engineers and Data Scientists.</li><li>
Strategic Execution: Ability to design high-level global frameworks while remaining close enough to the execution to ensure content quality and event success.</li><li>
Stakeholder Management: Exceptional communication skills with the ability to influence C-suite executives, motivate engineering teams, and consult with enterprise B2B clients.</li></ul><h2 class="jobSectionHeader">
Why Join Datatonic?</h2><ul><li>
The opportunity to shape the global learning strategy for a fast-growing, 12X award-winning Google Cloud Partner.</li><li>
A culture that genuinely values learning&mdash;not as a tick-box exercise, but as our core competitive advantage.</li><li>
A highly collaborative environment working alongside some of the sharpest minds in AI and Data.</li></ul></div>

Head of Learning & Development

Oliver Bernard

<div>
 
 🚀
 
 Staff AI Engineer | Stealth Mode AI Start-up | London | Up to &pound;200k
 
 
 
 
 
 
 Oliver Bernard have partnered with a
 
 stealth-mode start-up in the AI &amp; Research space
 
 , who are looking for a Staff AI Engineer to join the team and work on some genuinely challenging problems across LLMs, reinforcement learning and agentic systems.
 
 
 
 
 
 This is a hands-on research + engineering role, where you&rsquo;ll be involved in:
 
 
 
 
 
 🧠
 
 LLM training &amp; fine-tuning
 
 &ndash; including reinforcement learning and post-training
 
 
 🔄
 
 Evaluation &amp; feedback loops
 
 &ndash; building systems to continuously assess and optimise models
 
 
 🤖
 
 Agent development
 
 &ndash; designing and building sophisticated AI agents
 
 
 🔬
 
 AI research
 
 &ndash; exploring LLM training, RL, evaluation and optimisation techniques
 
 
 💻
 
 Software engineering
 
 &ndash; applying strong engineering fundamentals to complex AI problems
 
 
 
 
 
 
 What they&rsquo;re looking for:
 
 
 
 
 
 <ul>
 <li>
 Strong experience working with
 
 LLMs and/or foundation models
 
 </li>
 <li>
 Deep experience with
 
 training, fine-tuning, RL or post-training
 
 </li>
 <li>
 Strong background in
 
 model evaluation and optimisation
 
 </li>
 <li>
 Experience building
 
 AI agents / agentic systems
 
 </li>
 <li>
 Excellent software engineering fundamentals
 </li>
 <li>
 A strong track record in
 
 AI research
 
 and solving technically complex problems
 </li>
 </ul>
 
 
 
 
 📍
 
 London &ndash; 2 days hybrid
 
 
 
 💰
 
 Up to &pound;200k
 
 
 
 
 
 
 If you&rsquo;re a
 
 Staff-level AI Engineer
 
 who wants to work at the intersection of
 
 cutting-edge research and production engineering, apply below for more information.
 
 
 
 
 
 
 
 London | Stealth | Staff AI Engineer
 
 
</div>

Staff AI Engineer - Stealth Start-up - London

Findrs

<div>
 
 Forward Deployed Engineer | AI
 
 
 
 
 
 You can write good software.
 
 
 
 
 
 But can you walk into a business, understand a problem that nobody has properly defined yet, work out where AI can genuinely make a difference, and then build the thing?
 
 
 
 
 
 Because that&rsquo;s what this role is really about.
 
 
 
 
 
 You&rsquo;ll join a fast-growing AI engineering company that embeds small technical teams directly inside its clients.
 
 
 
 
 
 You won&rsquo;t spend months working from a perfectly written product specification.
 
 
 
 
 
 Instead, you&rsquo;ll sit close to founders, operators and senior stakeholders, understand how their business actually works, identify where technology can create leverage, and turn ambiguous problems into production AI systems.
 
 
 
 
 
 You&rsquo;ll own the outcome from beginning to end.
 
 
 
 
 
 
 What will you actually be doing?
 
 
 
 
 
 
 You&rsquo;ll act as the technical lead on client projects.
 
 
 
 
 
 That means you could be:
 
 <ul>
 <li>
 Sitting with a founder trying to understand why a critical internal workflow takes three days.
 </li>
 <li>
 Working out whether AI is actually the right answer.
 </li>
 <li>
 Designing the architecture for a new system.
 </li>
 <li>
 Building integrations, evaluations and deployment infrastructure.
 </li>
 <li>
 Shipping an initial version quickly.
 </li>
 <li>
 Watching how real users interact with it.
 </li>
 <li>
 Iterating until it genuinely solves the problem.
 </li>
 </ul>
 
 
 
 
 You&rsquo;ll be expected to move comfortably between engineering and communication.
 
 
 One minute you might be deep in the codebase.
 
 
 
 
 
 The next, you&rsquo;ll be explaining to a non-technical stakeholder what you&rsquo;ve built, why you&rsquo;ve built it that way, and what needs to happen next.
 
 
 
 
 
 You won&rsquo;t simply receive tickets.
 
 
 
 
 
 You&rsquo;ll help decide what the tickets should be.
 
 
 
 
 
 
 This could suit you if&hellip;
 
 
 
 
 
 
 You&rsquo;re an engineer who likes building things more than talking about building things.
 
 
 
 
 
 You&rsquo;re already experimenting with frontier AI models and tooling because you&rsquo;re genuinely curious about what they can do.
 
 
 
 
 
 You understand that models are powerful, but you also understand their limitations.
 
 
 
 
 
 You probably have side projects, prototypes, products or experiments sitting in your GitHub that nobody asked you to build.
 
 
 
 
 
 You enjoy starting with a blank page.
 
 
 
 
 
 You&rsquo;re comfortable making decisions without having every requirement defined for you.
 
 
 
 
 
 And importantly, you can talk to people.
 
 
 
 
 
 You don&rsquo;t need a Product Manager translating every conversation between you and the client.
 
 
 
 
 
 You&rsquo;re happy sitting in a room with founders or senior operators, asking intelligent questions and turning what you hear into something that works.
 
 
 
 
 
 
 Your background
 
 
 
 You&rsquo;ll need a strong grounding in software engineering and be comfortable operating across the full development lifecycle.
 
 
 You might already be an AI Engineer, Software Engineer, Founding Engineer, Solutions Engineer or Forward Deployed Engineer.
 
 
 Your exact title matters less than what you&rsquo;ve actually built.
 
 
 Having created something yourself is a major advantage.
 
 
 
 That could be:
 
 
 <ul>
 <li>
 A startup.
 </li>
 <li>
 A software product.
 </li>
 <li>
 An AI model or application.
 </li>
 <li>
 A consultancy.
 </li>
 <li>
 An open-source project.
 </li>
 <li>
 A side project with real users.
 </li>
 </ul>
 
 
 
 
 What matters is that you know what it feels like to take something from an idea to something people actually use.
 
 
 
 
 
 
 Why join?
 
 
 
 Because you&rsquo;ll get exposure to a range of genuinely difficult AI problems rather than spending years maintaining one narrow product area.
 
 
 
 
 
 You&rsquo;ll work directly with clients.
 
 
 
 
 
 You&rsquo;ll have significant autonomy.
 
 
 
 
 
 You&rsquo;ll ship quickly.
 
 
 
 
 
 And you&rsquo;ll see the systems you build being used in real businesses, rather than disappearing into an endless backlog.
 
 
 
 
 
 This is a remote-first position, although you&rsquo;ll need to be comfortable travelling into London for client meetings and on-site work when required.
 
 
 
 
 
 If you want a role where you&rsquo;re given a tightly defined specification and told exactly what to build, this probably isn&rsquo;t it.
 
 
 
 
 
 If you want to be the person who figures out what should be built in the first place, then builds it, this could be a very good fit.
 
 
 
 
 
 Apply now and tell us about the most interesting thing you&rsquo;ve built.
 
</div>

Forward Deployed Engineer

Annapurna

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

Data & AI Engineer

Clearwater Analytics (CWAN)

<div>Job Summary: 
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.
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. 
Responsibilities<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> 
Required Skills<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> 
Education and Experience:<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

International SOS

<div>
 
 About The Role
 
 
 
 We are looking for an experienced Senior Machine Learning Engineer to join our Product team, in Chiswick, West London,
 
 
 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.
 
 
 This is an excellent opportunity for an experienced engineer, looking for their next move in a global organization.
 
 
 
 Key Responsibilities
 
 
 
 <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
 
 
 </li>
 </ul>
 
 About You
 
 
 
 6+ years in AI/ML engineering or applied machine learning
 
 
 Strong Python skills with scikit-learn, TensorFlow, PyTorch, or XGBoost, plus experience with LLM frameworks (LangChain/LangGraph) and RAG
 
 
 Experience with cloud AI services (AWS Bedrock/SageMaker, Azure, or GCP) and vector stores
 
 
 Proficiency in SQL and working with data warehouses/lakes and embeddings
 
 
 Familiarity with MLOps/LLMOps, containerisation (Kubernetes), and CI/CD
 
 
 Understanding of prompt engineering, evaluation harnesses, and guardrails
 
 
 Strong grasp of ML theory, software engineering practices, and version control (Git)
 
 
 
 Benefits
 
 
 
 <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>

Senior Machine Learning Engineer

La Fosse

<div>
 
 
 Senior AI Engineer
 
 
 <ul>
 <li>
 
 Paying up to &pound;110,000 + 10 % Bonus
 
 </li>
 <li>
 
 Hybrid working &ndash; Central London (1 day per week)
 
 </li>
 <li>
 
 Leading FinTech Organisation
 
 </li>
 </ul>
 
 
 
 
 I'm partnering with a market-leading fintech business to hire a
 
 Senior AI Engineer
 
 into a high-impact AI Engineering team. This is an opportunity to lead the design and delivery of production-grade AI systems that are embedded into core business operations, helping shape how AI is adopted across the organisation.
 
 
 
 
 
 If you're passionate about LLMs, AI agents and building enterprise-scale AI solutions, this is a chance to own the technical direction and deliver AI products that create genuine business value.
 
 
 
 
 
 
 The Business
 
 
 <ul>
 <li>
 Leading fintech organisation with AI at the heart of its technology strategy.
 </li>
 <li>
 Significant investment into Generative AI, Machine Learning and cloud technologies.
 </li>
 <li>
 Collaborative engineering culture with a strong focus on innovation and technical excellence.
 </li>
 <li>
 Opportunity to influence AI strategy and shape the future of enterprise AI delivery.
 </li>
 <li>
 Modern technology environment with ambitious plans for AI adoption.
 </li>
 </ul>
 
 
 
 
 
 The Role
 
 
 <ul>
 <li>
 Build production-grade applications using LLMs and AI agents.
 </li>
 <li>
 Lead AI projects from concept through to deployment and adoption.
 </li>
 <li>
 Define engineering standards, reusable frameworks and best practices for AI development.
 </li>
 <li>
 Make key technical decisions across models, tooling, infrastructure and system design.
 </li>
 <li>
 Ensure AI solutions are scalable, secure, observable and production-ready.
 </li>
 </ul>
 
 
 
 
 
 What They're Looking For
 
 
 <ul>
 <li>
 Proven experience delivering production AI systems from design through to deployment.
 </li>
 <li>
 Strong expertise with Generative AI, LLMs and agentic AI architectures.
 </li>
 <li>
 Excellent software engineering skills across APIs, cloud platforms and distributed systems.
 </li>
 <li>
 Ability to influence engineering standards across multiple teams.
 </li>
 <li>
 Experience with AI platforms, LLMOps or MLOps would be highly beneficial.
 </li>
 <li>
 Background delivering AI solutions within enterprise or regulated environments is desirable.
 </li>
 </ul>
 
 
 
 
 This is an outstanding opportunity to join a business making significant investment in AI, where you'll play a pivotal role in defining technical strategy, building enterprise-scale AI solutions and driving innovation across the organisation.
 
 
 
 
 
 If you feel like you would be a good match, please apply with your CV to find out more.
 
 
 
 
 
 
 Senior AI Engineer
 
 
</div>

Senior AI Engineer

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