machine learning engineer

ai engineer

senior software engineer

software engineer

full stack engineer

principal software engineer

Linux Recruit

Specialism
 
Software Engineering
 
Job type
 
Permanent
 
Location
 
London
 
Salary
 
£140,000 - £160,000 per annum
 
Most engineering roles promise impact. Few offer the opportunity to solve genuinely novel technical problems while helping define an entirely new category of software.
 
As an experienced engineer you want to work on challenges that are both intellectually demanding and commercially significant. You will join a small team tackling problems that sit at the intersection of artificial intelligence, software engineering, and enterprise transformation, with the freedom to influence both the technology and the direction of the product.
 
This is an opportunity to work on systems that must understand and reason about some of the most complex business environments in the world. Rather than optimising a small part of an existing product, you will help create technology that changes how large organisations operate and evolve, forever.
 
There is substantial ownership from day one. Decisions are made by the people closest to the problem, and engineers are trusted to shape architecture, product direction, and technical strategy. Your work will be visible, consequential, and deployed in environments where successful outcomes create measurable value at scale.
 
This is an environment where you’ll be surrounded by ambitious, highly capable colleagues who are motivated by solving difficult problems rather than maintaining the status quo. The environment is collaborative, intellectually rigorous, and designed for people who enjoy learning quickly and pushing the boundaries of what is possible. A low ego environment where it is about coming together to solve problems by shipping high quality code.
 
For engineers interested in artificial intelligence, this role provides the opportunity to work beyond experimentation and prototypes. You will build production systems that apply AI to real-world complexity and deliver tangible results for major organisations. The technical challenges are substantial, the feedback loops are fast, and the impact is immediate.
 
As the company grows, there will be significant opportunities to expand your influence, develop as a technical leader, and help build both the engineering culture and the technology platform. You will join at a stage where exceptional contributions are highly visible and where your work can have a lasting effect on the trajectory of the business.
 
If you are looking for a role that combines technical ambition, meaningful ownership, exceptional colleagues, and the opportunity to work on problems that few engineers encounter in their careers, we would like to hear from you.
 
James Yarrow
 Consultant
 07441347681

Principal Software Engineer

Zapp

<div>Principal Software Engineer, Backend
Nine Elms, London. Full time (4 Days Onsite)
You'll need the right to work in the UK and be based in London. We are not able to offer visa sponsorship for this role.
About Zapp
We deliver the essentials in minutes, 24/7, from our own network of stores. Every order is a real-time race against the clock, and the systems that win it are the backend you would own.
Quick commerce is a genuinely hard backend problem. Stock changes by the second, orders and riders move in real time, and we make sub-minute promises we have to keep, at high throughput with no room for downtime. Getting that right, fast and reliably, is the job.
We're AI-first and we mean it as a way of working, not a slogan: AI-assisted development is part of the daily toolkit, we ship LLM-powered features where they genuinely earn their place, and we expect every engineer to shape how we use it.
Backed by the world's leading investors, built by people who've scaled Amazon, Deliveroo, Tesco, Just Eat and Stuart.
Our Leadership Principles
These five principles describe what great looks like at Zapp. They are the single framework we use across performance reviews, growth conversations, and leadership expectations.<ul><li>
Creating Magic</li><li>
Taking Ownership</li><li>
Raising the Bar</li><li>
Winning Together</li><li>
Delivering with Speed</li></ul>
The role
You'll be the most senior backend engineer at Zapp, owning the technical direction of the services that run the business, from ordering and inventory to logistics and the platform underneath. This is a hands-on Principal role: you set the architecture and the standard, and you're still in the code every week shipping the hardest parts yourself.
You'll work across the whole backend rather than one corner of it, going where the hardest problem is. You'll take ownership from a rough problem all the way to production and on-call, and you'll lift the engineers around you while you do it. When the team needs a pattern set, a hard call made, or the gnarly bit untangled, that's you.
What you'll do<ul><li>
Set the technical direction. Own the architecture of the backend across services, and make the calls on patterns, boundaries and tooling that the rest of the team builds on.</li><li>
Build the hard parts yourself. Design and ship the services, APIs and data models behind ordering, inventory and logistics, and set the standard for what good looks like.</li><li>
Raise the bar. Lift the engineers around you through design review, pairing, and the standard you set, and leave the team stronger than you found it.</li><li>
Own reliability and scale. Keep high-throughput, real-time systems fast and available, and design for the failure modes that come with sub-minute delivery.</li><li>
Own delivery end-to-end. Pick up a problem, design the solution, ship it to production, and be on the on-call rotation that stands behind it.</li><li>
Bring AI into how we build. Use AI in your daily work, share the patterns that help the team move faster, and learn from what others discover.</li><li>
Help shape AI in our product. Build the backend behind LLM-powered features, from the data and APIs to the guardrails that keep them safe in production.</li><li>
Work across the boundary. Partner with mobile, data and ops engineers on the contracts and systems that tie the product together.</li></ul>
You're a great fit if you<ul><li>
Experienced. 7+ years building backend systems in production, with real scale behind you.</li><li>
Strong in TypeScript. It's core to our backend and you're genuinely fluent, not just passing through.</li><li>
Polyglot. You've shipped production code in more than one language and reach for the right tool for the job.</li><li>
Distributed systems depth. You design services, APIs and data models that hold up under real-time, high-throughput load.</li><li>
Own the data layer. Confident with relational and non-relational stores, and clear on the trade-offs between them.</li><li>
Lead without a title. You set technical direction and bring people with you through clarity and example, not authority.</li><li>
Production minded. Reliability, observability, performance and security are things you design in from the start, not bolt on after the incident.</li><li>
Comfortable in uncertainty. You move forward when the path isn't clear, instead of waiting for someone to define it.</li><li>
Test as you build. Automated tests are how you ship code you trust.</li><li>
Pragmatic about delivery. You measure your work by what shipped and held up, not the elegance of the design doc.</li><li>
Excellent communicator. Clear in how you write and speak, and you love sharing what you learn.</li></ul>
If most of these land for you, please apply. We hire on trajectory and curiosity as much as CV.
Even better if you know<ul><li>
GCP. We run on Google Cloud, with Cloud Run, Pub/Sub and Firestore, so familiarity helps you hit the ground running.</li><li>
NestJS. Our TypeScript services are built on it.</li><li>
GraphQL. We run a federated gateway across multiple subgraphs, so federation experience makes schema and subgraph work easier.</li><li>
Event-driven architecture. Queues, streams and async messaging at scale.</li><li>
Infrastructure as code and DevOps. You're comfortable owning the path to production, not just the code.</li><li>
Quick commerce or similar domain. Logistics, on-demand delivery, or another real-time, high-throughput consumer environment.</li></ul>
You won't be a great fit if you<ul><li>
Need a fully defined process and a large, structured team to do your best work.</li><li>
Chase architectural purity at the expense of what the business actually needs.</li><li>
Stall when the path forward isn't clear, or wait to be told what to do.</li><li>
Want to stay strictly inside one service or specialty and avoid the rest of the stack.</li></ul>
What's the interview process like?
We aim to make our process clear, respectful of your time, and a real two-way conversation.<ul><li>
Stage 1 - Intro call (30 min). A short chat about your background and a chance for us to tell you more about Zapp, the team, and the role.</li><li>
Stage 2 - Technical interview (90 min). Live coding and a system design discussion. You'll have full access to any AI tooling you'd normally use, and we'll send you a boilerplate repository in advance so you can focus on the problem, not the setup.</li><li>
Stage 3 - Values &amp; Leadership interview (60 min). A conversation with senior leadership about how you work, what you care about, and how you align with our Leadership Principles.</li><li>
Stage 4 - Offer.</li></ul>
We will need to verify your right to work in the UK before extending an offer.
Benefits<ul><li>
Generous salary &amp; equity package</li><li>
25 days holiday per year, plus all bank holidays</li><li>
Private health insurance</li><li>
Extended sick pay and enhanced maternity and paternity leave</li><li>
Cycle to work scheme</li><li>
Pension (auto-enrolment)</li><li>
Budget for learning, conferences and kit</li></ul></div>

Principal Software Engineer, Backend

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

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

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


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

Principal Platform Engineer

Hiscox

<div>
 
 Job Type
 
 
 
 Permanent
 
 
 
 Build a brilliant future with Hiscox
 
 
 
 
 Principal Machine Learning Engineer
 
 
 
 
 Location:
 
 London/York
 
 
 
 Why Hiscox London Market
 
 
 
 Hiscox London Market sits at the centre of global specialist insurance, tackling some of the most complex and unusual risks in the world. These are not commoditised problems, they demand deep expertise, strong judgement, and increasingly, sophisticated data and machine learning capabilities.
 
 
 We have a strong track record of putting AI into real production use, from augmenting underwriting decisions to shaping future market standards through partnerships and market‑first innovation. This is an environment where advanced ML systems are expected to operate reliably, safely, and at scale, not remain in experimentation.
 
 
 You&rsquo;ll join a culture that values technical excellence, ownership, and courage, where senior individual contributors are trusted to set direction, challenge thinking, and build platforms that matter. For a Principal Machine Learning Engineer, this is a chance to work on high‑impact ML systems, influence how AI is adopted across the London Market, and help shape the future of insurance.
 
 
 
 Role Purpose
 
 
 
 As a
 
 Principal Machine Learning Engineer (MLE)
 
 , you bring a wealth of experience in building, scaling, and operating production machine learning systems, and use that experience to provide deep technical leadership across machine learning engineering and MLOps.
 
 
 You play a key role in shaping the architectural strategy for production ML systems and the ML Platform, working closely with Data Science, Engineering, and Platform teams to define patterns, standards, and tooling that enable reliable, repeatable delivery at scale. Through hands‑on contribution, design leadership, and technical mentorship, you help teams navigate complex technical decisions and build robust, maintainable systems.
 
 
 A central focus of the role is enabling the organisation to move quickly without sacrificing quality, evolving the ML platform, supporting the transition from experimentation to production, and helping teams adopt modern engineering practices. This includes championing the effective and responsible use of AI‑assisted development tools as part of a broader approach to improving developer experience, system quality, and long‑term sustainability.
 
 
 Success in this role comes from the practical application of deep experience, strong architectural thinking, and the ability to help others build better systems that deliver real business value.
 
 
 
 Key Responsibilities
 
 
 
 
 Technical Leadership &amp; Ownership (Individual Contributor)
 
 
 
 <ul>
 <li>
 Act as the technical lead for Machine Learning Engineering and MLOps across London Market.
 </li>
 <li>
 Technically lead the most complex and business‑critical ML systems, from architectural design through to production operation.
 </li>
 <li>
 Define and evolve production ML patterns and best practices, covering deployment, orchestration, monitoring, retraining, and decommissioning.
 </li>
 <li>
 Lead deep technical decision‑making, balancing scalability, reliability, security, and developer experience.
 </li>
 <li>
 Contribute hands‑on to critical systems, frameworks, and platform components where the complexity or impact demands it.
 </li>
 <li>
 Define best practices and guardrails for the use of AI‑assisted coding tools, ensuring they are used to improve productivity and code quality without compromising maintainability or operational safety.
 </li>
 <li>
 Lead by example in applying AI‑assisted development techniques (e.g. for prototyping, refactoring, and accelerating complex engineering work) with strong engineering judgement.
 
 
 
 </li>
 </ul>
 
 ML Platform Strategy &amp; Build‑Out
 
 
 
 <ul>
 <li>
 Partner closely with Group and Platform teams to design, build, and evolve the ML Platform, ensuring it supports:
 </li>
 <ul>
 <li>
 Reusable and scalable deployment patterns
 </li>
 <li>
 CI/CD for machine learning
 </li>
 <li>
 Full model lifecycle management
 </li>
 <li>
 Monitoring, observability, and alerting
 </li>
 <li>
 Secure and compliant operation
 </li>
 </ul>
 <li>
 Shape platform standards and interfaces that enable consistent ML delivery across squads and value streams.
 </li>
 <li>
 Lead technical spikes and proof‑of‑concepts to evaluate new tools, approaches, and architectural patterns.
 </li>
 <li>
 Influence developer tooling choices so that AI‑assisted coding tools integrate safely with CI/CD, testing, and governance workflows.
 </li>
 <li>
 Ensure the platform enables fast, safe experimentation while supporting robust, long‑lived production systems.
 
 
 </li>
 </ul>
 
 Governance, Reliability &amp; Commercial Impact
 
 
 
 <ul>
 <li>
 Ensure ML systems meet architecture, security, compliance, and operational standards.
 </li>
 <li>
 Define and implement robust frameworks for monitoring technical health, model performance, and commercial impact of ML systems in production.
 </li>
 <li>
 Champion operational excellence across ML services, including monitoring, alerting, incident management, and post‑incident learning.
 </li>
 <li>
 Ensure clear ownership and lifecycle management for models and ML‑backed services.
 </li>
 <li>
 Promote responsible use of automation and AI‑assisted tooling in safety‑critical or regulated contexts.
 
 
 
 </li>
 </ul>
 
 Collaboration &amp; Influence
 
 
 
 <ul>
 <li>
 Work closely with the Data Science team to ensure a smooth and repeatable transition from experimentation to production.
 </li>
 <li>
 Collaborate with software engineers, product managers, and business stakeholders to deliver end‑to‑end ML‑driven solutions.
 </li>
 <li>
 Act as a senior technical voice in design reviews, architecture forums, and strategic discussions.
 </li>
 <li>
 Influence technical direction and standards through expertise, credibility, and collaboration rather than line management.
 
 
 
 </li>
 </ul>
 
 Technical Mentorship &amp; Capability Development
 
 
 
 <ul>
 <li>
 Provide hands‑on technical mentorship to Machine Learning Engineers and Data Scientists.
 </li>
 <li>
 Raise engineering standards by sharing best practices, patterns, and lessons learned from real production systems.
 </li>
 <li>
 Coach teams on the effective and critical use of AI‑assisted coding tools, reinforcing the importance of code review discipline, testing, and long‑term maintainability.
 </li>
 <li>
 Contribute to technical hiring, assessment, and onboarding from a senior engineering perspective.
 </li>
 <li>
 Help shape long‑term capability by identifying gaps in tooling, skills, and platform maturity.
 
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Bring
 
 
 
 
 Experience &amp; Background
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, or a related quantitative field (or equivalent experience).
 </li>
 <li>
 Extensive experience as a senior or principal Machine Learning Engineer delivering production ML systems at scale.
 </li>
 <li>
 Proven track record of owning or shaping ML platforms, MLOps frameworks, or critical ML infrastructure.
 </li>
 <li>
 Experience operating in complex, cross‑functional environments (insurance or financial services experience is advantageous but not essential).
 
 
 
 </li>
 </ul>
 
 Technical Expertise
 
 
 
 <ul>
 <li>
 Exceptional Python skills in a machine learning engineering context, with strong software engineering fundamentals (OOP, testing, design patterns).
 </li>
 <li>
 Deep experience building, deploying, and operating production ML systems, including:
 </li>
 <ul>
 <li>
 Online and batch model serving
 </li>
 <li>
 Monitoring, alerting, and observability
 </li>
 <li>
 Retraining and lifecycle management
 </li>
 </ul>
 <li>
 Strong understanding of core data science concepts, sufficient to:
 </li>
 <ul>
 <li>
 Review and challenge modelling approaches
 </li>
 <li>
 Ensure models are production‑ready and correctly evaluated
 </li>
 </ul>
 <li>
 Hands‑on experience with a major cloud platform (AWS, GCP, or Azure), including containerised deployments.
 </li>
 <li>
 Expert knowledge of MLOps and CI/CD, including:
 </li>
 <ul>
 <li>
 Git‑based workflows
 </li>
 <li>
 Infrastructure as Code (e.g. Terraform)
 </li>
 <li>
 Automated testing and deployment pipelines
 </li>
 </ul>
 <li>
 Strong operational mindset, including APIs, logging, monitoring, reliability, and incident response.
 </li>
 <li>
 Working knowledge of SQL and integration of ML services into wider data and application ecosystems.
 </li>
 <li>
 Experience using AI‑assisted coding tools in a production engineering context, with a clear understanding of their benefits, limitations, and risks.
 
 
 </li>
 </ul>
 
 Why Join Us?
 
 
 
 This is an opportunity to shape the future of machine learning engineering at Hiscox, build a high-performing sub-chapter, and influence strategic decisions, while staying close to the craft you love. You&rsquo;ll have the autonomy to set standards, mentor talent, and explore emerging technologies, all within a collaborative and forward-thinking environment.
 
 
 
 Work with amazing people and be part of a unique culture
 
</div>

Principal Machine Learning Engineer

Altera Digital Health

<div>Site Reliability Engineer (SRE) - Remote
Overview
 
As a Site Reliability Engineer (SRE) at Altera, you will be responsible for ensuring the reliability, scalability, and performance of our hosted healthcare platforms. This role blends software and systems engineering to enhance service availability, automate operations, and improve the customer experience. You will act as a technical leader in monitoring, troubleshooting, incident response, and continuous improvement across our cloud and hybrid environments.
Key Responsibilities
<ul><li>Maintain and improve the reliability, availability, and performance of our production environments.
</li><li>Lead the investigation and resolution of complex application, database, and infrastructure issues.
</li><li>Participate in incident management, conduct root cause analysis (RCA), and contribute to post-incident reviews to prevent future occurrences.
</li><li>Define and measure Service Level Indicators (SLIs) and Objectives (SLOs) to meet our service commitments.
</li><li>Develop proactive monitoring and alerting strategies to identify and resolve issues before they impact customers.
</li><li>Automate operational tasks using scripting and Infrastructure-as-Code (IaC) to improve efficiency.
</li><li>Partner with engineering and cloud teams to refine deployment, monitoring, and support processes.
</li><li>Provide technical leadership during major incidents and act as a key escalation point for critical issues.
</li></ul>Qualifications
Experience:
<ul><li>7+ years of experience supporting enterprise applications, infrastructure, or cloud environments.
</li><li>Monitoring &amp; Observability: Strong experience with APM tools such as LogicMonitor, AppDynamics, Azure Monitor, SentryOne, Dynatrace, Datadog, or New Relic.
</li><li>Microsoft Stack: Deep knowledge of Windows Server administration, IIS, .NET applications, Windows Clustering, MSMQ, Event Logs, and PerfMon.
</li><li>Database Skills: Strong SQL Server experience, including performance tuning, query optimization, blocking analysis, and Always On Availability Groups.
</li><li>Cloud &amp; Networking: Experience with Azure cloud environments and a solid understanding of networking fundamentals (DNS, TCP/IP, load balancing, firewalls).
</li><li>ITSM &amp; ITIL: Familiarity with ServiceNow (or other ITSM platforms) and ITIL principles.
</li></ul>Preferred Skills:
<ul><li>Scripting with PowerShell, Python, or similar languages.
</li><li>Infrastructure as Code (Terraform, ARM Templates, Bicep).
</li><li>CI/CD pipelines and deployment automation (Azure DevOps, GitHub Actions).
</li><li>Experience with Kubernetes and containerized workloads.
</li><li>Experience implementing SLOs, SLIs, and Error Budgets.
</li><li>Experience in a healthcare technology or patient care environment.
</li></ul>Education:
<ul><li>Bachelor's Degree in Computer Science, Information Technology, or Engineering is preferred; equivalent professional experience will be considered.
</li></ul>Working Arrangements
<ul><li>This is a remote position open to candidates within the UK
</li><li>You will participate in an on-call rotation to support our 24x7 healthcare environment.
</li><li>Occasional after-hours work is required for activations, upgrades, and major incidents.
</li></ul>Travel
Travel is not a requirement for this role. 
<ul><li>
</li></ul> 
Why Altera?
 
At Altera Digital Health, you will have the opportunity to profoundly impact the lives of patients by empowering healthcare providers to deliver superior care. You will join a passionate and gifted team committed to innovation and excellence. We offer a competitive compensation and benefits package and the opportunity to work in a fast-paced and dynamic environment.</div>

Principal Systems Engineer

<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>

Principal Machine Learning Engineer (Live Sports Insights)

<div><div>Location: London

Office requirement : 2 days in the office - Significant travel required

Employment type: Permanent

Seniority level: Principal</div> 


At GWI we're always looking for extraordinary people who thrive on making an extraordinary impact. Right now we're looking for an Forward Deployed Engineer to play a key role in our Solutions Consultants Team in London. If that's you, and making a difference gets you out of bed in the morning, keep reading. It could be the start of something, well, extraordinary. 

<h1 class="jobSectionHeader">
Sounds great, what will I be doing?</h1>

As our Lead / Principal Forward Deployed Engineer you'll be embedded directly with our most strategic accounts, owning the end-to-end technical deployment of our agentic AI platform. This isn't a support role, and it isn't a solutions consultant with a fancy title &mdash; you'll write production code, own technical outcomes, and be the reason our biggest customers succeed and expand. You'll operate with the autonomy of a founding engineer and the commercial instinct of a GTM leader. 
<div>
A few things you'll be responsible for:

 Embed with our Tier 1 enterprise accounts and own end-to-end deployments of our agentic AI platform &mdash; from discovery through to production, including bespoke integrations, data pipelines, and workflow automations.

 Lead AI agents into production in complex environments (legacy systems, security, compliance), turning cutting-edge capability into measurable business outcomes.

 Partner with Enterprise AEs in late-stage sales cycles &mdash; leading proof-of-concept builds and assessing technical readiness to de-risk and accelerate the close.

 Surface patterns from the field and feed them back to product and engineering, acting as the bridge between customer reality and roadmap.

 Build out the FDE practice as it scales: repeatable deployment playbooks, success metrics, and mentoring mid-level FDEs.

It's also fun; shaking things up is what working for GWI is all about. You'll need to be flexible, comfortable with continuous change, and working in a high-tempo environment.</div> 

<h1 class="jobSectionHeader">
What do I need to bring with me?</h1>

You'll need to be able to demonstrate the core skills this role requires. You don't have to tick all the boxes right away; the important thing is that you're willing to learn.
 
Here's what the team will be looking for in you:

 Significant experience in software engineering, solutions engineering, or a customer-facing technical role &mdash; with meaningful time spent shipping production code in complex enterprise environments.

 Demonstrable experience deploying AI or data-heavy products into large organisations &mdash; real production deployments, not just POCs.

 Strong full-stack or backend engineering fundamentals: Python essential, plus comfort across APIs, SQL, cloud infrastructure (AWS/GCP/Azure), and data pipelines.

 The ability to work through ambiguity and turn it into a concrete technical plan.

 Clear communication across technical and business audiences &mdash; you can tailor the same idea for an engineering lead and a commercial stakeholder.

 Willingness to travel to client sites across the UK and Europe (approximately 30&ndash;50% of the time). 


Nice to have:

 Hands-on experience with LLM deployment, AI agents, or agentic workflow automation.

 A background in a high-growth B2B SaaS or AI-native company.

 Experience in one or more of GWI's core verticals: financial services, media &amp; agencies, consumer goods, or technology.

 Prior experience in an FDE, solutions architect, or technical account management function at a company with a named-account enterprise motion. 


Equally important is attitude. We want people who think big (to make an impact), ask why (to find a better way), and show respect (to everyone, at every level, all the time). Those are our values, and they're a big part of what we're looking for in you.
<h1 class="jobSectionHeader">
What's in it for me?</h1>

At GWI, you'll find meaningful work, visible impact, and a culture that empowers you to do your best. Our package includes:

 Time to recharge &ndash; 25 days' annual leave, plus office closures over the holidays.

 Health &amp; wellbeing &ndash; Health cash plan, enhanced family benefits, carer days, and mental health support.

 Financial benefits &ndash; Competitive salary, 4% pension matching, and recognition programs that celebrate success.

 Flexibility &amp; balance &ndash; Flexitime, early Friday finishes, hybrid and remote options, plus a &quot;work from home&quot; budget.

 Career growth &ndash; Accredited learning, leadership development, and global career mobility.

 Community &amp; impact &ndash; DE&amp;I initiatives, volunteering opportunities, donation matching, and payroll giving. 


Put all that together and GWI is the friendliest, most fulfilling place any of us has ever worked. 

<h1 class="jobSectionHeader">
Diversity, Equity &amp; Inclusion</h1>

Diversity is fundamental to who we are&mdash;both as a data company and as a workplace. Our data reflects global realities, and so must our teams. We strive to ensure our workforce is as diverse and inclusive as the insights we provide to our clients.

As a Disability Confident employer, we welcome applications from disabled candidates and are committed to providing all necessary adjustments during the hiring process. We also actively encourage applications from underrepresented and marginalized communities.

At GWI, you will find a place where you can contribute meaningfully, grow professionally, and belong fully. 


#li-hybrid 
#LI-NIKOSSS1</div>

Forward Deployed Engineer

Explore 213+ Principal software engineer in London this July. Find roles across top companies and apply now to boost your career.