tech lead

Compare The Market

<div><h1 class="jobSectionHeader">Engineering Manager</h1>
Function: Tech 
Location: Hybrid &ndash; London<h2 class="jobSectionHeader"> 
Curious about what's next?</h2>
So are we. Join Compare the Market and help to make financial decision making a breeze for millions. 
 
At Compare the Market, we're a purpose-driven business powered by tech and AI. We're building high-performing, results-driven teams with the skills, mindset, and ambition to deliver outcomes at pace. Every role here plays a part in driving our mission forward, and we create an environment where you can bring your authentic self, grow a truly characterful career, and see the direct impact of your work on the lives of our customers. 
 
We've carved a meerkat-shaped niche and we're looking for ambitious, curious thinkers who thrive in a fast-moving, high-impact environment. If you love accountability, embrace challenge, and want to make a real difference, you'll fit right in. 
 
As an Engineering Manager, you'll play a pivotal role in building a world-class engineering function where technical excellence, ownership, and continuous improvement are at the heart of everything we do. You'll create an environment where engineers are empowered to solve meaningful problems at scale while balancing long-term technical strategy with delivery.<h2 class="jobSectionHeader">
What you'll be doing:</h2> 
<ul><li>
Lead, coach and develop a high-performing engineering team.</li><li>
Recruit, develop and retain engineering talent.</li><li>
Foster a culture of ownership, psychological safety and continuous improvement.</li><li>
Drive technical excellence and engineering best practices.</li><li>
Own the technical health, reliability and maintainability of critical customer facing systems.</li><li>
Partner with Staff and Principal Engineers on architecture and technical strategy.</li><li>
Collaborate with Product Managers to balance delivery, customer value and technical debt.</li><li>
Champion Agile ways of working and data-driven engineering improvements.</li><li>
Drive adoption of AI-augmented engineering practices and developer tooling.</li><li>
Ensure engineering practices align with governance, security and risk requirements.</li></ul><h2 class="jobSectionHeader">
What we're looking for:</h2> 
You'll bring proven experience leading high-performing software engineering teams within modern technology organisations. You'll have a strong software engineering background, excellent communication skills and experience guiding architecture, scalability, maintainability and reliability. You'll be passionate about developing people, improving developer experience, embracing AI-augmented engineering practices such as Spec Driven Development and delivering high-quality technology that creates value for customers and the business.<h2 class="jobSectionHeader"> 
Why Compare the Market?</h2> 
We're a business built for pace and performance. Here, you'll be encouraged to think differently, act boldly, and deliver brilliantly in a culture that values results and rewards progress. 
 
We believe diverse teams make better decisions, and we're committed to creating an inclusive workplace where everyone feels empowered to grow, contribute, and thrive. 
 
If you're ready to stretch yourself, raise the bar, and grow with a team that's serious about performance, innovation, and purpose, we'd love to hear from you.</div>

Engineering Manager

nearForm

<div>This is a full-time, permanent opportunity for candidates based in the UK and authorised to work without sponsorship.

This position also requires travel to client sites in London (one day every couple of weeks), with travel expenses covered by the company.

About Nearform 

Nearform is an independent team of data &amp; AI experts, engineers, and designers who build intelligent digital solutions and capabilities at pace. We create AI-enabled solutions that enhance digital experiences, empower developers, and deliver measurable results. In these ways, we partner with ambitious enterprises to deliver enduring impact.

Our deep expertise in solving the world's most complex digital problems, along with our collaborative, people-first approach, enables enterprises to build breakthrough products and modernise legacy systems by unleashing the power of AI.

Today, our team of 500 experts in 20+ countries is trusted by leading enterprises, including Lululemon, Puma, Sun Life, Starbucks, Travelex, Virgin Media 02, and Walmart.
As part of our Engineering function, you will work closely with clients to translate complex business requirements into innovative digital products.
 
Whether you are a Senior Engineer, Tech Lead, or DevOps Engineer, you will collaborate with distributed teams, leveraging cutting-edge technologies to build secure, high-performance applications. Our Nearform engineers are known for building high quality, scalable solutions that solve real world problems.

About the Technical Lead Role:

As a Technical Lead at Nearform, you will be responsible for leading and guiding development teams while working directly with clients to translate business and technical requirements into impactful applications. However, as you'll likely work on a variety of projects in your time here, your responsibilities may also include:
<ul>
<li>Provide technical and line-management leadership to your development team.</li>
<li>Take responsibility for the successful delivery of projects.</li>
<li>Identify and resolve blockers before they become issues.</li>
<li>Ensure best practices in software development, DevOps, and agile methodologies are upheld within the team.</li>
<li>Work directly with clients, translating requirements into technical briefs.</li>
<li>Shape and define architectural decisions ensuring scalability, security, and maintainability.</li>
<li>Provide updates to client and Nearform leadership to ensure clear understanding of project status and drive good decision-making.</li>
</ul>
What we are looking for in this person:
<ul>
<li>Significant experience in software engineering and 2+ years of experience leading projects and mentoring as a Technical Lead. For this particular role, we are looking for professional experience Python.</li>
<li>Significant experience on DevOps practices and cloud technologies (Azure)</li>
<li>Experience with AI application development and Agentic frameworks and platforms (e.g., LangGraph, Agentspace, etc.)</li>
<li>Experience working directly with clients or customers to understand technical requirements.</li>
<li>Proven experience working with Kubernetes for container orchestration.</li>
<li>Strong CI/CD experience, including hands-on work with Terraform, Helm, and other cloud-native IaC technologies.</li>
<li>Deep understanding of observability practices, with practical experience using OpenTelemetry (OTel) and related tooling.</li>
<li>Experience leading software engineering teams through technical delivery and either direct line management or mentoring.</li>
<li>Deep understanding of agile ways of working, best practices and design patterns.</li>
<li>Deep understanding of test-driven development and testing best practices.</li>
<li>Deep understanding of version control tools, e.g. Git.</li>
<li>Understanding of operational concerns (such as monitoring, performance testing, security considerations, accessibility, GDPR)</li>
<li>Empathy and people skills</li></ul> 
 
Benefits and Perks we offer at Nearform
<ul>
<li>Annual Company Bonus - We all help Nearform to hit company goals so we all receive a share of the profits on an annual basis in line with company performance.</li>
<li>Work Remotely and Flexibly - We have a genuine dedication to work/life balance. Our flexible working culture allows you to work around what matters - school run, no problem!</li>
<li>Paid Time Off Package - We offer an annual leave of 25 days plus public holidays. We also offer sick leave, marriage leave and many more.</li>
<li>Remote Working Allowance - Every 2 years, you will have a budget of up to &euro;1250 (equivalent in GBP) to help you set up a comfortable and productive workspace in addition to your essential equipment provided by Nearform when you join.</li>
<li>Training and Development Allowance - Nearform is committed to supporting and investing in employees' ongoing learning and professional development. You will be encouraged to pursue relevant learning opportunities that support your growth and the growth of others, subject to manager approval.</li>
<li>Healthcare - It's important to always take care of your health, so we offer additional private healthcare here at Nearform. If you wish to learn more about the plan offered feel free to reach out to our team.</li>
<li>Pension &amp; Insurances - We offer a pension match of up to 5% and Income Protection and Death in Service for peace of mind.</li></ul> 


Our Interview Process

Talent Call (30 mins via Zoom) 
An initial conversation with a member of our Talent Team to explore your background, leadership experience, and career goals. We'll provide an overview of Nearform, discuss potential alignment, and answer any questions you may have. This step helps us assess initial alignment.

Technical Lead Assessment (90 mins, Zoom) 
A structured assessment led by a senior Technical Lead or Head of Engineering, designed to evaluate key aspects of a Technical Lead role. This session includes a selection of tasks to cover: 
 
Architecture Design &ndash; We want to see how you approach a high level problem, demonstrating your design thinking and decision-making process. 
Technical Implementation &ndash; How do you turn a design into reality, taking into account business needs? 
Code Standards and Feedback &ndash; We want to see not just your own skills, but also how you improve those around you

Hiring Manager Interview (45 mins via Zoom) 
A conversation with a Hiring Manager focused on your approach to teamwork, client collaboration, and problem-solving in an enterprise development setting. We'll also share more details about Nearform and the potential projects you may join.

There may also be an additional interview with the client depending on the project. 


Ready to Join Us?

If you're passionate about building high-quality applications, solving complex challenges, and driving innovation in enterprise development, we'd love to hear from you.

Apply now via our careers page at Nearform and be part of a team that values technical excellence, collaboration, and continuous learning. 

Nearform is committed to shaping a better world in all that we do. Our global team is built based on respect, inclusivity, diversity and excellence.

If you require any adjustments to the interview process as part of your application, please let someone from our Talent Team know so they can help. 
 
Salary up to &pound;120,000 + Bonus &amp; Benefits</div>

Technical Lead - Python & Azure

Bluefish AI

<div>About the Position

As a Staff AI Engineer, you&rsquo;ll serve as a technical leader for our LLM-powered products at the forefront of marketing and advertising technologies. You&rsquo;ll own critical architectural decisions, set quality bars, and lead multi‑team initiatives that drive measurable outcomes.

As our Staff AI Engineer, you will lead the vision and execution of our data platform and LLM-powered products. You&rsquo;ll own critical architectural decisions across data pipelines, model integration, model deployment and evals: turning high-level product and business requirements into robust, scalable data products that drive measurable outcomes for our Fortune 500 customers. This role spans data backend and ML engineering: from the reliability and cost efficiency of our pipelines to the outcome and performance of LLM-enabled features. You&rsquo;ll raise the bar for data literacy across the department, craft and collaboration.

You&rsquo;ll be accountable for the health, cost, and evolution of key data product and data platforms, partnering closely with full-stack engineers, product, design, and devops to deliver outcomes our customers can trust.

This role presents an exciting opportunity to shape the future of AI-driven technologies and make meaningful contributions to real-world applications.

The role is linked with our location in London, but we are flexible about hybrid or remote work in The United Kingdom.

What You&rsquo;ll Be Doing
<ul>
<li>Lead end-to-end architecture for data platforms and pipelines: scraping, data extraction, transformation, storage, serving, and ML/LLM integration, balancing performance, reliability, security, and cost.</li>
<li>Incrementally scale pipelines and systems: design safe rollout plans and north star data-quality metrics to handle customer and traffic growth without impacting production.</li>
<li>Translate business goals into actionable data products: assess high-level requirements, carve clear problem spaces, draft crisp RFCs, and sequence work into deliverable projects for the team.</li>
<li>Establish and enforce engineering standards: testing strategy, evals, observability, data contracts, and security practices across services. Think through short-term and long-term goals to come up with fast go-to-market products, while planning ahead for productization.</li>
<li>Up‑level the org: lead architecture reviews, codify patterns, mentor Senior Engineers, and multiply impact through documentation, code reviews, and pairing.</li>
<li>Startup‑ready: flexible, comfortable with ambiguity and constant change; proactive about process, documentation, and reliability without over‑engineering.</li>
<li>Lead the collaboration and define how AI engineers work cross-functionally with software engineers, devops, product managers and designers, to conceptualize and shape innovative and impactful solutions. Provide mentorship to junior team members and cultivate a culture of collaboration and innovation.</li>
<li>Ship meaningful experiments: prototype data/ML capabilities, evaluate feasibility and ROI, and make pragmatic calls on productionalizing with an eye on operating costs and risk.</li>
</ul>
Qualifications
<ul>
<li>8+ years building and operating production data systems, including leading cross-cutting architectural changes, and deploying LLMs in real‑world scenarios at scale.</li>
<li>Deep experience Python and modern service architectures; strong system design and data modeling fundamentals.</li>
<li>Extensive experience with training and deploying machine learning models, particularly within the NLP/LLM domain. Proficiency in Python. Familiarity with infrastructure as code, CI/CD, and cloud infrastructure.</li>
<li>Fluency in operational maturity: SLOs, on‑call/incident practices, and observability.</li>
<li>Strong analytical and problem-solving abilities, with a bias towards action and outcomes. Experience with data preprocessing, feature engineering, and model evaluation techniques.</li>
<li>Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. Demonstrated leadership experience, with the ability to guide and inspire a team.</li></ul> 


About Bluefish:

Bluefish believes that AI represents the next major chapter of the internet &ndash; and that consumers will increasingly use AI to consume information and media online. On this new AI internet, brands will need new tools and technologies to tell their stories to consumers online &ndash; and a new marketing ecosystem will be created around AI. Bluefish is building the platform that helps brands engage consumers on this new AI channel, with powerful enterprise tools to manage AI brand safety and engage consumers with thoughtful and personalized AI marketing experiences.

The Bluefish team is a tight-knit group of mar-tech industry veterans who previously helped build foundational ad-tech platforms now owned by Meta and Microsoft. Bluefish, the leading AI marketing platform for the Fortune 500, recently announced a $43 million Series B growth financing co-led by Threshold Ventures and NEA with participation from multiple enterprise investors including Amex Ventures, TIAA Ventures, Salesforce Ventures, and continued participation from Bloomberg Beta. We are a globally distributed team, with business operations based in New York City and engineering based in Europe and New York.

Why Bluefish &amp; Our Values:
<ul>
<li>Unique opportunity to join on the ground floor of a fast-moving startup building at the center of AI</li>
<li>Tackle challenging and abstract problems while disrupting the $300BN legacy mar-tech industry</li>
<li>Join an experienced high-performing team where you will have immediate ownership and impact</li>
<li>Experience a true meritocracy with significant career growth upside as the business scales</li>
</ul>
Our Values:
<ul>
<li>Demonstrated grit and resourcefulness - you find creative solutions, adapt quickly, and aren&rsquo;t afraid to roll up your sleeves in a fast-paced, evolving environment.</li>
<li>Thoughtful and strategic thinker with the ability to anticipate needs, ask the right questions, and deliver insights that truly drive value.</li>
<li>Proven ability to collaborate across functions and roles, fostering open communication and shared ownership of outcomes.</li>
<li>Commitment to craftsmanship - you take pride in delivering high-quality work, paying attention to the small details while keeping the big picture in mind.</li>
<li>Self-starter with a proactive mindset and a strong sense of accountability - able to drive projects forward independently while staying aligned with team goals.</li>
<li>Comfortable navigating ambiguity and learning new tools, processes, or technologies to get the job done.</li></ul></div>

Staff AI Engineer

Janus Henderson Investors

<div>Why work for us? 


A career at Janus Henderson is more than a job, it&rsquo;s about investing in a brighter future together.

Our Mission at Janus Henderson is to help clients define and achieve superior financial outcomes through differentiated insights, disciplined investments, and world-class service. We will do this by protecting and growing our core business, amplifying our strengths and diversifying where we have the right. 


Our Values are key to driving our success, and are at the heart of everything we do: 


Clients Come First - Always | Execution Supersedes Intention | Together We Win | Diversity Improves Results | Truth Builds Trust 


If our mission, values, and purpose align with your own, we would love to hear from you! 


Your opportunity 


The Senior Cloud Engineer &ndash; Cloud COE is a hands-on engineering role responsible for building, automating and operating Azure cloud platforms. Reporting to Tech Lead &ndash; Cloud COE, this role focuses on Terraform-led infrastructure, Azure platform engineering, AKS, AVS, Azure Arc and BAU operations. 


Core responsibilities 


Cloud Engineering &amp; Platform Delivery
<ul>
<li>Build, configure, and manage Azure infrastructure services including compute, storage, networking, backup, and platform services</li>
<li>Support deployment of enterprise landing zones, shared services, and workload environments</li>
<li>Implement cloud solutions aligned with architecture patterns and enterprise standards</li>
<li>Work closely with Tech Lead and Architecture teams to deliver strategic cloud initiatives</li></ul> 


Infrastructure-as-Code (Terraform Focus)
<ul>
<li>Develop and maintain Terraform modules and reusable infrastructure components</li>
<li>Deliver infrastructure provisioning via CI/CD pipelines (GitHub / Azure DevOps)</li>
<li>Ensure infrastructure deployments are consistent, version-controlled, and policy-compliant</li>
<li>Manage drift detection, environment consistency, and release governance</li></ul> 


Azure Core Platform Skills
<ul>
<li>Hands-on engineering across:
</li><li><ul><li>Subscriptions, Management Groups, RBAC, Policy</li>
<li>Virtual Machines, Storage, Backup, DR</li>
<li>Azure Monitor, Log Analytics</li>
<li>Private Endpoints and secure service exposure</li>
</ul></li><li>Implement secure-by-design configurations aligned to enterprise cloud controls</li></ul> 


Azure Kubernetes Service (AKS)
<ul>
<li>Deploy, configure, and support AKS clusters</li>
<li>Manage cluster scaling, patching, upgrades, and networking integration</li>
<li>Support container platform operations including monitoring and reliability</li>
<li>Collaborate with application teams for containerised workload deployments</li></ul> 


Azure VMware Solution (AVS)
<ul>
<li>Support AVS environments including connectivity, operations, and monitoring</li>
<li>Assist with workload migrations and integration with Azure-native services</li>
<li>Work with infrastructure teams to ensure stable hybrid VMware-cloud operations</li></ul> 


Azure Arc &amp; Hybrid Cloud
<ul>
<li>Implement and manage Azure Arc-enabled servers and services</li>
<li>Apply governance, policy, and monitoring across hybrid estates</li>
<li>Support consistency of operations across on-prem, AVS, and Azure-native environments</li></ul> 


Cloud Networking &amp; Connectivity
<ul>
<li>Configure and manage:
</li><li><ul><li>VNets, NSGs, UDRs</li>
<li>VPN Gateway, ExpressRoute</li>
<li>Private Endpoints and DNS</li>
</ul></li><li>Troubleshoot hybrid connectivity and latency issues</li>
<li>Support secure network design and segmentation</li></ul> 


Identity, Access &amp; Security
<ul>
<li>Support Microsoft Entra ID (Azure AD) configurations and integrations</li>
<li>Implement RBAC, SSO, and least privilege access models</li>
<li>Assist with security controls, compliance policies, and remediation activities</li></ul> 


Monitoring, BAU &amp; Incident Management
<ul>
<li>Support business-as-usual (BAU) cloud operations across environments</li>
<li>Monitor cloud services using Azure Monitor, Log Analytics, and alerting tools</li>
<li>Investigate incidents, perform root cause analysis, and implement fixes</li>
<li>Maintain platform stability, uptime, and service performance</li></ul> 


Collaboration &amp; Engineering Excellence
<ul>
<li>Work closely with:
</li><li><ul><li>Cloud COE team</li>
<li>Platform Engineering</li>
<li>Security and Architecture teams to contribute to internal Tech Architecture Board</li>
</ul></li><li>Contribute to reusable templates, standards, and best practices</li>
<li>Drive automation-first mindset and continuous improvement</li></ul> 


What to expect when you join our firm 

<ul>
<li>Hybrid working and reasonable accommodations</li>
<li>Generous holiday policies</li>
<li>Excellent health and wellbeing benefits</li>
<li>Paid volunteer time</li>
<li>Professional development and certifications</li>
<li>Parental leave benefits</li>
<li>Access to Headspace</li>
<li>Employee events and networking opportunities</li>
<li>Subsidised lunch allowance</li></ul> 


Must have skills 

<ul>
<li>5+ years of hands-on cloud engineering experience with Microsoft Azure</li>
<li>Strong Terraform (IaC) experience &ndash; module design, pipelines, governance</li>
<li>Deep knowledge of core Azure services (compute, storage, networking, identity)</li>
<li>Hands-on experience with:
</li><li><ul><li>Azure Kubernetes Service (AKS)</li>
<li>Azure networking (VNet, DNS, Private Endpoints, ExpressRoute/VPN)</li>
<li>Microsoft Entra ID / RBAC</li>
</ul></li><li>Experience supporting BAU operations, incident management, and troubleshooting</li>
<li>Strong scripting skills (PowerShell, Bash, or Python)</li>
<li>Experience with CI/CD pipelines (GitHub / Azure DevOps)</li>
<li>Understanding of cloud security and governance best practices</li>
<li>Experience working in enterprise-scale environments</li></ul> 


Nice to have skills 

<ul>
<li>Experience with Azure VMware Solution (AVS)</li>
<li>Experience with Azure Arc (hybrid governance and management)</li>
<li>Exposure to FinOps / cost optimization practices</li>
<li>Certifications:
</li><li><ul><li>AZ-104 (Azure Administrator)</li>
<li>AZ-305 (Azure Architect)</li>
<li>AZ-700 (Networking)</li>
</ul></li><li>Terraform certification</li>
<li>Experience in financial services or regulated environments</li></ul> 


Supervisory responsibilities 

<ul>
<li>No direct line management (individual contributor role with high technical ownership)</li></ul> 


Potential for growth 

<ul>
<li>Progression to Tech Lead / Staff Engineer</li>
<li>Exposure to enterprise architecture and strategic cloud programmes</li>
<li>Opportunity to lead platform engineering initiatives</li>
<li>Cross-functional collaboration across global teams</li></ul> 


Potential for growth 

<ul>
<li>Mentoring</li>
<li>Leadership development programs</li>
<li>Regular training</li>
<li>Career development services</li>
<li>Continuing education courses</li>
<li>Cross-functional collaboration</li></ul> 


You will be expected to understand the regulatory obligations of the firm and abide by the regulated entity requirements and JHI policies applicable for your role.

At Janus Henderson Investors, we&rsquo;re committed to an inclusive and supportive environment. We believe diversity improves results and we welcome applications from candidates from all backgrounds. Don&rsquo;t worry if you don&rsquo;t think you tick every box, we still want to hear from you! We understand everyone has different commitments and while we can&rsquo;t accommodate every flexible working request, we&rsquo;re happy to be asked about work flexibility and our hybrid working environment. If you need any reasonable accommodations during our recruitment process, please get in touch and let us know at recruiter@janushenderson.com. 
Annual Bonus Opportunity: Position may be eligible to receive an annual discretionary bonus award from the profit pool. The profit pool is funded based on Company profits. Individual bonuses are determined based on Company, department, team and individual performance. 


Benefits: Janus Henderson is committed to offering a comprehensive total rewards package to eligible employees that includes; competitive compensation, pension/retirement plans, and various health, wellbeing and lifestyle benefits. To learn more about our offerings please visit the Why Join Us section on the career page here. 


Janus Henderson Investors is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. All applications are subject to background checks. 


Janus Henderson (including its subsidiaries) will not maintain existing or sponsor new industry registrations or licenses where not supported by an employee&rsquo;s job functions (as determined by Janus Henderson at its sole discretion). 


You should be willing to adhere to the provisions of our Investment Advisory Code of Ethics related to personal securities activities and other disclosure and certification requirements, including past political contributions and political activities. Applicants&rsquo; past political contributions or activity may impact applicants&rsquo; eligibility for this position. 


You will be expected to understand the regulatory obligations of the firm, and abide by the regulated entity requirements and JHI policies applicable for your role.</div>

Senior Cloud Engineer, Cloud COE

in-tech group Ltd

About the JobAt in-tech, we are working to make mobility more sustainable and more intelligent.As a specialist in electronics and software for the past 20 years, in-tech develops innovative solutions for the automotive sector.A dynamic and fast-growing engineering company headquartered in Munich, Germany employing around 2350 employees globally across 20 project locations in 08 countries.We are looking for Sr Java Full stack Engineer with strong expertise in Java, Spring Boot, React, and AWS, along with experience building AI/agentic solutions. This role requires someone with strong ownership, technical leadership, and the ability to drive projects end-to-end and work in the client location in London at Hybrid basis.Key Responsibilities<ul><li>Lead the design, development, and delivery of scalable full-stack applications using Java, Spring Boot, React, and AWS.</li><li>Own the complete software lifecycle &mdash; from architecture and development to deployment, monitoring, and continuous improvement.</li><li>Build and integrate AI-powered solutions, including LLM-based workflows, autonomous agents, copilots, and orchestration frameworks.</li><li>Design secure, resilient, and high-performance cloud-native systems on AWS.</li><li>Collaborate closely with product managers, designers, architects, and engineering teams to translate business requirements into technical solutions.</li><li>Drive technical best practices, code quality, engineering standards, and system reliability.</li><li>Mentor engineers and contribute to a strong culture of collaboration, accountability, and continuous learning.</li><li>Proactively identify technical risks, bottlenecks, and opportunities for optimization.</li><li>Participate in architectural discussions, technical planning, and strategic technology decisions.</li><li>Implement CI/CD pipelines, observability, testing strategies, and DevOps best practices.</li><li>Stay current with emerging AI technologies, agent frameworks, and modern engineering trends.</li></ul>Required Skills &amp; Qualifications<ul><li>7 - 8 years of software engineering experience with strong full-stack development expertise.</li><li>Strong proficiency in: Java , Spring Boot / Microservices, React.js, REST APIs, AWS cloud services</li><li>Proven experience designing and deploying distributed cloud-native applications.</li><li>Mandatory hands-on experience building AI/LLM-based applications and agentic systems.</li><li>Experience with AI orchestration frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or similar.</li><li>Strong understanding of prompt engineering, retrieval-augmented generation (RAG), vector databases, and AI integration patterns.</li><li>Experience with Docker, Kubernetes, CI/CD pipelines, and infrastructure automation.</li><li>Strong system design and architecture capabilities.</li><li>Ability to independently drive initiatives with end-to-end ownership.</li><li>Excellent problem-solving, communication, and stakeholder management skills.</li><li>Strong collaborator with a proactive, self-driven mindset.</li><li>Willingness to work at client office in London on hybrid basis.</li></ul>Apply with usIf you have the experience, team spirit and are looking for a great place to work, then start your job with us.As part of our dedication to the diversity of our workforce, in-tech is committed to equal employment opportunity without regard for age, race, colour, national origin, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity, or religion.Application question(s):<ul><li>Notice Period</li><li>Experience with working AI Frame works and Agents?</li><li>Do you require Visa Sponsorship?</li><li>Are you fine to relocate to London?</li></ul>Work Location: Hybrid remote in London

Senior Java Full Stack Engineer (Spring Boot, React, AWS, AI)

<div><div><div>Job ID: R0052537</div>
</div><div><div><div><div><div>Location</div>
<div>London, Middlesex</div>
</div></div></div><div></div><div><div><div><div>Hours/week</div>
<div>37.5 hrs/week</div>
</div></div></div><div></div><div><div><div><div>Payrate range</div>
<div>Unknown</div>
</div></div></div></div><div><div>We believe in better. And we make it happen.
Better content. Better products. And better careers.
Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate.
We turn big ideas into the products, content and services millions of people love.
And we do it all right here at Sky.
Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports&mdash;giving fans control, fresh perspectives, and predictive insights during the action.
As a Principal Machine Learning Engineer, you&rsquo;ll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans.
For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office.
What you&rsquo;ll do:
You&rsquo;ll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation, real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution&mdash;not just single models&mdash;while mentoring engineers and data scientists and raising the bar across teams.
<ul><li>Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams.
</li></ul><ul><li>Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment.
</li></ul><ul><li>Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data.
</li></ul><ul><li>Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring.
</li></ul><ul><li>Design, architect, and operate low latency, highly reliable cloud based AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. 
</li></ul>What you'll bring
<ul><li>Proven extensive lead level engineering experience delivering data&ndash;driven ML systems, with clear ownership of technical direction, mentoring, and delivery.
</li></ul><ul><li>Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata).
</li></ul><ul><li>Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch, TensorFlow), including taking models from experimentation into production model serving.
</li></ul><ul><li>End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices.
</li></ul><ul><li>Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary.
</li></ul>Nice to have
<ul><li>Understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. 
 
</li></ul><ul><li>Being a Sports Fan &ndash; we immerse ourselves in Sport so having a passion for sport and a desire to push the sports experience to the next level is a real bonus. 
</li></ul>The rewards
There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here&rsquo;s a taster:
<ul><li>Sky Q, for the TV you love all in one place
</li></ul><ul><li>The magic of Sky Glass at an exclusive rate
</li></ul><ul><li>A generous pension package
</li></ul><ul><li>Private healthcare
</li></ul><ul><li>Discounted mobile and broadband
</li></ul><ul><li>A wide range of Sky VIP rewards and experiences 
</li></ul> 
Inclusion &amp; how you'll work
 
We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can.
 
We&rsquo;ve embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You&rsquo;ll find out more about what hybrid working looks like for your role later on in the recruitment process. 
 
Your office space
 
Osterley
 
Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers.
 
On campus, you&rsquo;ll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. 

 
We'd love to hear from you
 
Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It&rsquo;s a place where you can explore what if, how far, and what next.
But better doesn&rsquo;t stop at what we do, it&rsquo;s how we do it, too. We embrace each other&rsquo;s differences. We support our community and contribute to a sustainable future for our business and the planet.
If you believe in better, we&rsquo;ll back you all the way.
Just so you know: if your application is successful, we&rsquo;ll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.</div></div></div>

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