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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. The Global Streaming Data Platforms (GS-Data) department is leading the way in many areas of data. The department has designed and built a world-leading real time data analytics platform, using the latest cloud and open-source technologies. We stream billions of events each day to enable our partner teams across Sky and Comcast deliver customer-led sophisticated insights and analytics. What you'll do • Design, build, test and maintain software to help integrate and orchestrate the movement of data between critical Data components., • Deliver observable, reliable and secure software, adopting you build it you run it mentality, and focus on automation., • Take an active role in story definition, assisting business collaborators with acceptance criteria., • Work with Principal Engineers and Architects to share and supply to the broader technical vision., • Support and mentor less experienced members of the team. What you'll bring, • Track record of delivering complex, production quality applications., • Strong Scala development experience, preferably in the akka /pekko ecosystem., • Experience working with Docker, Kubernetes and Cloud technologies., • Strong Test Driven Development background, with understanding of levels of testing required to continuously deliver value to production, • Experience with build management and CI systems such as Jenkins, TeamCity or similar, • Delivery experience within an agile environment using Scrum / Kanban methodologies and Pair Programming., • The attitude of leading by example and the willingness to work as part of a team. Team overview Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiencesInclusion & 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've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'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'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's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'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.

Join Us in Shaping the Future of AI at Barclays. We’re launching an exciting new initiative at Barclays to design, build, and scale next-generation platform components that empower developers - including Quants and Strats - to create high-performance, AI-driven applications. As an AI/MLOps Platform Engineer, you’ll play a pivotal role in this transformation, working hands-on to develop the infrastructure and tooling that supports the full lifecycle of machine learning and generative AI workloads. This is more than an engineering role—it’s an opportunity to influence technical direction, collaborate across diverse teams, and help define how AI and GenAI are delivered at scale. To be successful as an AI/MLOps Platform Engineer at this level, you should have experience with: • Proficiency in Python engineering skills, especially in backend systems and infrastructure., • Deep AWS expertise, including services like SageMaker, Lambda, ECS, Step Functions, S3, IAM, KMS, CloudFormation, and Bedrock., • Proven experience building and scaling MLOps platforms and supporting GenAI workloads in production., • Strong understanding of secure software development, cloud cost optimization, and platform observability., • Ability to communicate complex technical concepts clearly to both technical and non-technical audiences., • Demonstrated leadership in setting technical direction while remaining hands-on. Some other highly valued skills may include: • Experience with MLOps platforms such as Databricks or SageMaker, and familiarity with hybrid cloud strategies (Azure, on-prem Kubernetes)., • Strong understanding of AI infrastructure for scalable model serving, distributed training, and GPU orchestration., • Expertise in Large Language Models (LLMs) and Small Language Models (SLMs), including fine-tuning and deployment for enterprise use cases., • Hands-on experience with Hugging Face libraries and tools for model training, evaluation, and deployment., • Knowledge of agentic frameworks (e.g., LangChain, AutoGen) and Model Context Protocol (MCP) for building autonomous AI workflows and interoperability., • Awareness of emerging trends in GenAI platforms, open-source MLOps, and cloud-native AI solutions You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills. This role can be based out of our Glasgow or Canary Wharf office. Purpose of the role To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues. Accountabilities • Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance., • Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives., • Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing., • Stay informed of industry technology trends and innovations and actively contribute to the organization’s technology communities to foster a culture of technical excellence and growth., • Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions., • Implementation of effective unit testing practices to ensure proper code design, readability, and reliability. Assistant Vice President Expectations • To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions., • Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes, • If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others., • OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes., • Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues., • Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda., • Take ownership for managing risk and strengthening controls in relation to the work done., • Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function., • Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy., • Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively., • Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience., • Influence or convince stakeholders to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.

Ready to build the high-performance logic powering next-generation logistics?.Join Reelables and architect the.This isn't just back-end development – you're building the mission-critical.IoT data streams, ensures millisecond latency for global supply chains, and scales seamlessly as we grow from m

Senior Backend Engineer (Java). A SaaS reward platform are growing their engineering team👥.

You have a strong backend Java software engineering skills. Senior Java Engineer / Developer (AI) opportunity. Senior Java Engineer / Developer (AI) London / WFH to £110k.

Designing and developing performant, scalable backend systems using Java (up to Java 21). Java Engineer – 6-Month Contract – Hybrid (2 days on site, London) - Day Rate: Up to £700 (Inside IR35). Strong experience with Java, Spring Boot, and microservice architecture.

Senior Software Engineer – AI Startup – Up to 120k 🚀🧠. Python, Flask, FastAPI, React, TypeScript, GCP (Backend Leaning). Our y-combinator backend client are building an elite engineering team within the AI space.

MUST BE BASED IN THE UK TO BE ELIGIBLE. Are you an experienced Cloud Engineer seeking new and exciting opportunities? While we may not have an immediate vacancy, we’re always on the lookout for talented individuals to join our Talent Pool. Who We Are GSK is a science-led global healthcare company with a special purpose: to help people do more, feel better, live longer. We are on an audacious journey to impact the health of 2.5 billion people over the next decade. Our R&D division is at the forefront of this mission, dedicated to the discovery and development of groundbreaking vaccines and medicines. We are transforming the landscape of medical research by integrating cutting-edge science and technology and harnessing the power of genetics and new data. By fostering a collaborative environment that unites the talents of our people, we are revolutionizing R&D to pre-empt and defeat diseases. Join us in our commitment to uniting science, technology, and talent to get ahead of disease together. What We’re Looking For We want to connect with Cloud Engineers who demonstrate expertise in a broad range of core skills and experience, including but not limited to: • Strong programming skills (ideally in Python) with experience in building scalable applications., • Hands-on experience with cloud platforms (GCP preferred), including deployment and management of web applications., • Familiarity with Infrastructure-as-Code tools (eg. Terraform), including best practices for modular development., • Experience with automated testing frameworks (e.g. pytest) and writing robust test suites., • Proficient in DevOps tools and workflows (eg. CI/CD pipelines, Git/GitHub)., • Comfortable working in agile software development environments, with a focus on iterative delivery and collaboration., • Background in computational, numerate, or life sciences is beneficial but not essential. What You Might Be Doing As a Cloud Engineer at GSK, you could get involved with: • Developing and maintaining software and infrastructure for web applications., • Integrating AI/ML components with frontend, backend, data, and compute infrastructure., • Ensuring high-quality software delivery through automated testing, documentation, and adherence to best practices., • Monitoring and improving key performance metrics for tools and services., • Participating in code reviews, and contributing to continuous improvement of team standards and practices., • Collaborating with data engineers and technical staff across teams to build end-to-end data pipelines., • Supporting deployment workflows and contributing to the evolution of cloud architecture and infrastructure. Why Join Our Talent Pool? • Be the first to hear about new Cloud Engineer roles as soon as they go live., • Gain access to exclusive insights about GSK’s roles, projects and company culture., • Receive updates on training, development opportunities, and industry trends. How to Join If you’re passionate about cloud engineering and ready to explore future career opportunities with GSK, please submit your details using the application form below. We’ll keep your details on file and reach out as soon as roles become available. Inclusion at GSK GSK is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive equal consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class. If you need any adjustments in the recruitment process, please get in touch with our Recruitment team () to further discuss this today. Important notice to employment businesses/agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK’s compliance to all federal and state US Transparency requirements. For more information, please visit GSK’s Transparency Reporting For the Record site.

MUST BE BASED IN THE UK TO BE ELIGIBLE. Are you an experienced Full-stack Engineer seeking new and exciting opportunities? While we may not have an immediate vacancy, we’re always on the lookout for talented individuals to join our Talent Pool. Who We Are GSK is a science-led global healthcare company with a special purpose: to help people do more, feel better, live longer. We are on an audacious journey to impact the health of 2.5 billion people over the next decade. Our R&D division is at the forefront of this mission, dedicated to the discovery and development of groundbreaking vaccines and medicines. We are transforming the landscape of medical research by integrating cutting-edge science and technology and harnessing the power of genetics and new data. By fostering a collaborative environment that unites the talents of our people, we are revolutionizing R&D to pre-empt and defeat diseases. Join us in our commitment to uniting science, technology, and talent to get ahead of disease together. What We’re Looking For We want to connect with Full-stack Engineers who demonstrate expertise in a broad range of core skills and experience, including but not limited to: • Experience in front-end development, with expertise in frameworks such as React., • Experience in Python development (e.g., using FastAPI) for backend services., • Comfortable working with modern, cloud-native technologies and continuous deployment practices., • Strong skills in JavaScript/TypeScript and similar., • Understanding best practices for scalable, maintainable code and automated testing., • Curious, collaborative, and passionate about applying technology to improve health outcomes., • Familiarity with agile methodologies and ability to thrive in collaborative, iterative environments., • Experience in AI/ML or life sciences is a plus, but not required - what matters most is a commitment to continuous learning and a desire to make an impact. What You Might Be Doing As an Full-stack Engineer at GSK, you could get involved with: • Developing front-end applications and interactive data visualizations., • Integrating AI/ML components with backend systems and data pipelines., • Building and maintaining cloud-based infrastructure for large-scale applications., • Collaborating with designers and scientists to create intuitive user experiences., • Driving best practices in software development, testing, and deployment. Why Join Our Talent Pool? • Be the first to hear about new full-stack roles as soon as they go live., • Gain access to exclusive insights about GSK’s roles, projects and company culture., • Receive updates on training, development opportunities, and industry trends. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology). Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it’s also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves – feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together. Inclusion at GSK GSK is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive equal consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class. Important notice to employment businesses/agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK’s compliance to all federal and state US Transparency requirements. For more information, please visit GSK’s Transparency Reporting For the Record site.

Location: 🌍Belfast, London or Barcelona Salary and Compensation: 💷 £60,000 - £110,000 + 📈 Stock Options Benefits: 🏥 Full Medical Insurance + 💻 All Equipment Covered About Eolas Accessing medical knowledge rapidly and easily at the point of care is still very difficult for healthcare professionals. Eolas Medical is transforming how critical medical knowledge is accessed at the point of care. We have a vision where every healthcare professional can instantly access the context specific knowledge they need to deliver safe, effective care. Designed and developed by doctors, the platform aggregates and indexes tens of thousands of items of medical content, enabling rapid and accurate decision-making. It’s currently being used by hundreds of thousands of healthcare professionals globally, over 85% of acute NHS hospitals, 40% of all doctors in Ireland and also used in world leading institutions in the US including Stanford Healthcare, Mass General and Boston Children’s Hospital. We’re now hiring another Clinical Engineer to work alongside a team of doctors helping build the next generation of AI powered clinical knowledge tools. This position has a broad scope, accepting applications from all levels of experience, i.e from minimal software development experience to the world’s best clinician turned engineer. The Role - Clinician Engineer (Clinical + Full Stack Engineering) This is a rare hybrid role for doctors who are passionate about technology, problem-solving, and building real tools that dramatically improve clinical workflows. You will bring your clinical understanding into every product decision, while learning (or expanding) real engineering capability. You will help design, build, and ship features used directly by frontline clinicians including our next-generation AI-powered knowledge retrieval tools. We welcome a broad spectrum of experience: At one end: Doctors with strong clinical background and early-stage engineering skills who are eager to learn. You’ll receive close mentorship, structured training, and opportunities to contribute quickly. At the other: Highly experienced clinician-engineers capable of contributing as senior full-stack or backend engineers from day one. You’ll directly shape system architecture, product direction, and clinical tooling design. Your clinical intuition will be just as valuable as your engineering output. This is a role where both skillsets matter equally. Our Tech Stack We are a cloud-native, modern, TypeScript-first platform. Experience with any of the following is a bonus, you do not need all of them. Backend & Infrastructure • AWS (Lambda, API Gateway, Cognito, S3, OpenSearch), • Node.js / TypeScript, • Python, • PostgreSQL & DynamoDB, • Serverless architecture & microservices, • Docker, CI/CD pipelines, • Cloud security & compliance (HIPAA / GDPR / NHS DTAC) Frontend • React, • TypeScript, • Tailwind, • Component-driven development AI / RAG / Knowledge Pipelines • LLM-powered features, • RAG pipelines (embedding models, chunking strategies, semantic search), • Document extraction/processing (PDF parsing, OCR, agentic pipelines), • Clinical content ingestion workflows, • Evaluation frameworks for safe medical AI responses If you don’t know these yet, that’s fine. We will teach you. What You’ll Do Depending on your experience, you will contribute to some or all of the following: Product & Clinical Problem Solving • Translate real clinical workflows into intuitive product experiences., • Help design features that clinicians will actually use under pressure., • Work closely with doctors, engineers, and leadership to shape product direction. Full-Stack or Backend Engineering • Build and ship cloud-first features using TypeScript/Node.js, React/Next.js, and AWS., • Contribute to infrastructure-as-code and deploy serverless services., • Help architect systems that scale to hundreds of thousands of clinicians. AI & Clinical Knowledge Retrieval • Build RAG workflows that safely surface medical knowledge., • Develop clinical document ingestion pipelines that process PDFs, protocols, and policies., • Validate AI-generated outputs with clinical context and domain expertise. Quality, Safety & Clinical Integrity • Ensure that what we build is clinically safe, defensible, and high-impact., • Bring frontline intuition to technical decisions that will affect patient care. Learning & Growth • For early-stage engineers: Receive structured training in software engineering, cloud systems, and AI tooling. Pair program with senior engineers, complete real projects, and grow rapidly., • For experienced engineers: Lead projects, contribute to architecture, mentor others, and shape the technical roadmap. Who We’re Looking For You should be a doctor with a passion for technology. Beyond that, you might be early in your engineering journey or already an expert. Either way: Essentials • Strong clinical background with deep understanding of real-world workflows., • A product mindset: you obsess over usability and solving real clinician problems., • Genuine passion for technology, engineering, and learning new skills., • Ability to think pragmatically and deliver high-quality, reliable solutions., • Curiosity, humility, and a desire to build the future of clinical decision support. Nice to Have • Experience coding in TypeScript, JavaScript, Python, or similar., • Understanding of cloud systems (AWS preferred)., • Familiarity with LLMs, embeddings, or semantic search., • A portfolio of side projects, tools, or apps you’ve built (clinical or not)., • Experience in a startup or fast-moving environment. For Senior-Level Candidates • 3–7+ years engineering experience (before or after your clinical career)., • Ability to independently architect and build production systems or if frontend orientated have the ability to lead front end development using React., • Experience with serverless systems, distributed architectures, or AI pipelines., • Leadership experience or mentoring junior engineer-clinicians. Why Join Eolas Medical This is not a normal job. • You will help shape how AI is safely used in frontline healthcare - globally., • You will work with a small, mission-driven group of clinician-engineers., • You will join at a pivotal moment as we scale from a lean team to a global organisation., • You won’t just write code: your work will directly influence how doctors treat patients every day. You will not be one engineer among many. You will be someone who fundamentally shapes the future of Eolas Medical — and of clinical decision-making itself. Contact:

MUST BE BASED IN THE UK TO BE ELIGIBLE. Are you an experienced Back-end Engineer seeking new and exciting opportunities? While we may not have an immediate vacancy, we’re always on the lookout for talented individuals to join our Talent Pool. Who We Are GSK is a science-led global healthcare company with a special purpose: to help people do more, feel better, live longer. We are on an audacious journey to impact the health of 2.5 billion people over the next decade. Our R&D division is at the forefront of this mission, dedicated to the discovery and development of groundbreaking vaccines and medicines. We are transforming the landscape of medical research by integrating cutting-edge science and technology and harnessing the power of genetics and new data. By fostering a collaborative environment that unites the talents of our people, we are revolutionizing R&D to pre-empt and defeat diseases. Join us in our commitment to uniting science, technology, and talent to get ahead of disease together. What We’re Looking For We want to connect with Back-end Engineers who demonstrate expertise in a broad range of core skills and experience, including but not limited to: • A degree in a quantitative or engineering discipline (e.g., computer science, computational biology, bioinformatics, engineering) or equivalent professional experience., • Strong Python skills, with experience in back-end development and unit testing., • Familiarity with generative AI concepts, particularly Large Language Models., • Experience with cloud platforms (Google Cloud preferred), including core web application infrastructure., • Knowledge of agile practices and ability to thrive in collaborative, iterative environments., • Proficiency with modern development tools and workflows (e.g., git/GitHub, DevOps practices), with a mindset of commit early and deploy often., • Understanding of web development best practices, modern design principles, and continuous integration workflows., • Experience with automated testing tools and building robust test suites. What You Might Be Doing As an Back-end Engineer at GSK, you could get involved with: • Backend development for Python-based web applications., • Integration of AI/ML components with backend systems, data pipelines, and compute infrastructure., • Delivering high-quality implementations following best practices, including automated testing and documentation., • Participating in code reviews and collaborating with technical teams across disciplines., • Supporting evaluations and insights on generative AI datasets. Why Join Our Talent Pool? • Be the first to hear about new back-end roles as soon as they go live., • Gain access to exclusive insights about GSK’s roles, projects and company culture., • Receive updates on training, development opportunities, and industry trends. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology). Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it’s also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves – feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together. Inclusion at GSK GSK is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive equal consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class. Important notice to employment businesses/agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK’s compliance to all federal and state US Transparency requirements. For more information, please visit GSK’s Transparency Reporting For the Record site.

Founding / Lead Backend Engineer | Stealth DEX |. You’ll design and oversee backend architecture connecting users to our decentralized exchange, lead on system performance, scalability and reliability, collaborate cross-functionally, and mentor engineers. We’re looking for someone with at least

Backend Engineer, Contract | Python (Django), Java and Rust | Fully Remote / EU-Based | Rate £550-650pd, Outside IR35 | 12-months Contract Length. What You'll Be Doing as a Backend Engineer, Contract | Python (Django), Java and Rust | Fully Remote / EU-Based | Rate £550-650pd, Outside IR35 | 12-mo

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An award-winning SaaS customer loyalty platform are currently seeking a Back End Software Engineer to join their growing team in London.

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We’ve just closed a $12million Series A fundraise and we’re now hiring our second back end engineer to work alongside our extremely experienced Head of Backend and VP of engineering as well as closing working with a team of doctors helping build the next generation of AI powered clinical knowled

New Role: Lead Product Engineer (Backend Leaning) – Up to £180,000. New Role: Lead Product Engineer (Backend Leaning) – Up to £180,000.

You’ll work on low-latency, high-throughput systems that power decentralized coordination, execution, and data integrity across global nodes. Deep knowledge of distributed systems, fault tolerance, and consensus mechanisms. Experience in zero-knowledge systems, MPC, or verifiable computation.

C++ Developer / Software Engineer (C++ Linux SQL) London / WFH to £110k.Are you a backend focussed C++ Developer looking for an opportunity to progress your career, working on complex and interesting systems where you can see the impact of your work?.You could be joining a global leading FinTech an

STEADROCK CAPITAL — AI & SYSTEMS ENGINEER (Graduate / Junior) Location: Mayfair, London Start: Immediate Type: Full-time, In person Compensation: £40,000–£60,000 + discretionary bonus About Steadrock Capital Steadrock is a London-based multifamily office and investment firm operating at the intersection of real estate private equity, AI compute infrastructure, and quantitative finance. We recently acquired 10 Queen’s Gate Place (SW7) for redevelopment into six luxury units (Grade II listed) with a projected GDV materially above £17M. Alongside our real estate strategy, we operate a dedicated AI infrastructure stack centered on an NVIDIA DGX system, used for in-house modelling, automation, and agent development. We are building a small, elite technical team. This role is a core pillar of that team. Role: AI & Systems Engineer. This is a hybrid role blending backend engineering, GPU systems, AI agent development, and automation. You will work directly with the founder, our economics lead, and our quantitative modelling lead. This is not a corporate environment. We move fast, prefer clean architecture, and value people who can think independently. Core Responsibilities You will own the technical backbone of Steadrock's internal systems: • Compute Infrastructure (DGX), • Manage our NVIDIA DGX server (Linux environment, CUDA, system health), • Build, test, and maintain internal APIs (FastAPI/Flask), • Design stable ngrok / reverse-proxy / network connections for remote access, • Optimise GPU utilisation and monitor performance, • AI Agent & Automation Development, • Build internal agents that automate:, • document extraction (PDFs, planning papers, legal documents), • real estate data ingestion, • CV filtering algorithms, • email workflows, • Integrate LLM APIs and vector databases, • Develop pipelines for fine-tuning, embeddings, inference, • Backend & Internal Tools, • Build the “Steadrock OS”: internal dashboards, scheduling tools, risk engines, • Maintain Python codebase, Git repositories, environments, • Connect iPhone/iPad workflows with backend systems, • Data & Real Estate Interfaces, • Compile property listings data, • Build automated comparables engines, • Connect planning documents to structured outputs, • Assist with financial modelling scripts What You Need Technical • Strong Python, • Experience with Linux (Ubuntu), bash, SSH, • Understanding of GPUs, CUDA basics, or willingness to learn fast, • Experience with FastAPI, Flask or similar, • Basic networking knowledge (ports, tunnels, proxies), • SQL or NoSQL experience, • Git disciplinePreferred, • Experience with LLM APIs (OpenAI, Anthropic, DeepSeek, Qwen), • Exposure to Docker or Kubernetes, • Familiarity with cloud providers (AWS/Azure/GCP), • Coursework or experience in ML, transformers, NLP, or distributed systemsBonus (not required), • Interest in real estate, • Interest in finance or quantitative modelling, • Experience building agents (LangChain, LlamaIndex, custom architectures) What We Offer • Work directly with an NVIDIA DGX system, • Build AI systems from the ground up, • Very high autonomy, • Exposure to private equity, high-end real estate development, planning strategy, • Freedom to design architecture as you see fit, • A fast-moving environment with no bureaucracy, • The opportunity to become a foundational technical hire (progression is fast Why This Is a Unique Role This is not a typical graduate software job. It is a rare opportunity to join a small, elite, multi-disciplinary team and: • Build AI systems with real impact, • Architect the compute backbone of a growing multi-family office, • Influence investment analysis, real estate strategy, and automation, • Touch every part of the tech stack, • Grow into a CTO-level position You won’t be maintaining someone else’s stack — you will be building Steadrock’s from scratch. Application Process • CV, • Short Python task (we will send a practical DGX-related challenge), • Technical interview (systems + Python), • Final discussion with the founder Work Location: In person

Founding Backend Engineer | Python, TypeScript, LLMs, RAG | Seed-Funded B2B SaaS | £100,000 - £160,000 + Early Stage Equity | London, Hybrid | Can Sponsor + Relocate. About the Founding Backend Engineer | Python, TypeScript, LLMs, RAG | Seed-Funded B2B SaaS | £100,000 - £160,000 + Early Stage Eq

DevOps, Cloud Engineering, or Platform Engineering roles. We are seeking a DevOps / Platform Engineer to maintain and enhance our existing platform infrastructure, with opportunities to contribute to backend development when needed. Our mission is to advance cutting-edge AI from within the UK by com

As a Junior Software Developer / Engineer you will design and develop backend services for real-time risk, pricing, trading engines and market making systems, working across the full software development lifecycle using Rust. As a Junior Software Developer / Engineer you will receive a competitive p

Salary: Up to £90,000 + Bonus and Benefits.Hybrid: 2 days a week onsite (London).We are partnered with an innovative start-up transforming the way people see and experience the world's best locations and experiences, financially facilitating people to explore the world with incredible savings.They

Senior Software Engineer | Hybrid | London We are hiring for an innovative analytics software company powering global credit investment is expanding its engineering team and looking for a Senior Software Engineer to help shape its next generation of data products. This is a unique opportunity to influence the technical roadmap at a high-growth fintech scale-up working with top-tier global financial institutions. The role involves building and scaling backend systems in Node.js and Python, deploying on AWS (Lambda, DynamoDB, PostgreSQL), and collaborating closely across engineering, product, and customer teams. 💼 Ideal Candidate: • Proven experience with backend/fullstack development using Node.js, Python, and AWS serverless architecture, • Strong database design skills (PostgreSQL, DynamoDB, Elasticsearch), • Familiarity with frontend frameworks like Vue or React, • Comfortable mentoring developers and influencing technical direction, • Experience in financial services or a data-heavy B2B environment is a plus 🛠 Tech Stack: Node.js, Python, AWS (Lambda, DynamoDB, CloudWatch, CloudFormation), PostgreSQL, Elasticsearch, Terraform 📍 Location: Hybrid, based in London (Victoria) — flexible home/office split Please apply now!

A fast-growing AI-driven SaaS company is hiring three Senior Software Engineers to join its engineering team. These are hands-on roles with a strong backend and architectural focus, ideal for engineers who enjoy working in scale up or startup environments and want to build high-quality, cloud-native software that powers real-world automation. You’ll be part of cross-functional squads delivering modern, serverless, AI-enabled applications used in highly regulated industries. The company has a strong engineering culture, embraces AI-assisted development, and offers autonomy, impact, and the chance to help shape technical direction. Role: Senior Software Engineer Salary: Up to £70,000 per annum Location: Fully Remote (UK-based) What you’ll be doing: • Design, build, and optimise scalable software using Node.js, TypeScript, React, AWS Lambda, Step Functions, DynamoDB, • Contribute to architecture discussions and ensure solutions are secure, cloud-native, and maintainable, • Use AI-assisted tooling to speed up development, testing, and debugging, • Work closely with Product, Delivery, and Technical Leads to refine requirements and deliver iteratively, • Mentor junior engineers and conduct code reviews to maintain quality and consistency, • Help drive best practices across DevOps, CI/CD, observability, and secure coding, • Collaborate with other squads to ensure technical alignment across the platform What you’ll need: • Strong full stack experience with a backend-first mindset, • Expertise in Node.js, TypeScript, React, and modern cloud engineering, • Hands-on experience with AWS serverless, particularly Lambda, Step Functions, DynamoDB, • Solid understanding of scalable architecture and performance optimisation, • Experience in scale ups, startups, or SMEs where speed, ownership, and adaptability matter, • Strong debugging, problem solving, and delivery skills, • Interest in or experience with AI-assisted engineering tools (e.g. GitHub Copilot), • Comfortable working in agile squads and contributing across the full SDLC What’s on offer: • Salary up to £70,000, • Fully remote working across the UK, • Modern AI-first engineering environment, • Real ownership and impact in a growing product-led team, • Opportunity to shape tooling, workflow, and engineering standards, • Clear progression path into Technical Lead, • Collaborative culture with a focus on high-quality engineering and continuous improvement If you’re a hands-on engineer who enjoys building scalable backend systems, working cloud-first, and embracing AI-assisted development, this is a great opportunity to join a fast-moving team solving meaningful technical challenges.

Android Engineer | London (Hybrid - 2 days in office) | £80k - £95k I’m partnering with a fast-growing scale-up looking for a skilled Android Engineer to join their team. 🎨 What You’ll Do • Build and maintain Android app with high-quality, scalable code, • Contribute to cross-platform development using Kotlin Multiplatform (KMP) and Compose Multiplatform (CMP), • Implement new features using Jetpack Compose and modern Android architecture, • Collaborate with designers, product managers, and backend engineers, • Integrate REST APIs and optimize app performance, • Maintain and improve CI/CD pipelines (Bitrise), • Participate in code reviews, design discussions, and agile ceremonies 💡 What We’re Looking For • Strong Kotlin skills (Java knowledge a plus), • Experience with MVVM / Clean Architecture, • Hands-on with Jetpack Compose, Hilt, Retrofit, • Exposure to or strong interest in KMP / CMP, • Comfortable working in an agile, cross-functional team

Full-Stack Engineer | Product Engineering (FastAPI, React, Supabase) | AI Start Up • Salary: Up to £100k + meaningful equity, • Location: Zone 1 Central London Offices, On-site, • (Please note: sponsorship is not available at this time.) The Role You’ll join a small, high-calibre engineering team building AI-native products from the ground up. In this role, you will work across the full stack to architect, build, and ship production systems powering multimodal AI agents. You’ll design intuitive interaction models for human–AI collaboration, develop scalable backend services, and rapidly prototype new features at pace. You’ll also work directly with the founding team to shape technical direction, defining the platform architecture and helping build a genuinely new category of agent-led product development. This is a true 0→1 engineering environment where you’ll have deep ownership and impact. Non-Negotiables • Full-stack engineering experience with production delivery, • Ability to ship end-to-end features in containerised environments, • Comfortable navigating ambiguity, shifting priorities, and rapid experimentation, • Strong problem-solving mindset with ownership and resilience Nice to Haves • Founder or founding engineer background, • Experience building interfaces for agentic workflows, • Exposure to LLMs, multimodal models, or agent UX (AX), • Experience shaping technical strategy in early-stage teams What You’ll Work With • FastAPI backend development, • React engineering and modern frontend tooling, • Supabase or similar cloud-native backend tools, • LLM agent workflows: tool calling, memory, retries, context updates, • Human–AI interaction models and agent UX (AX) design, • System design, architecture evolution, and scaling pathways, • MCP integrations and multimodal agent capabilities Why join You’ll join a deeply AI-native engineering culture where you’ll help define how humans and agents build products together. You will: • Influence core platform architecture during its foundational stage, • Build and iterate on multimodal agent systems, • Prototype and refine new models of human–agent collaboration, • Work closely with founders on strategy and product direction, • Be part of a high-intensity, supportive team obsessed with building exceptional products Full-Stack Engineer | Product Engineering (FastAPI, React, Supabase) | AI Start Up

Senior Software Engineer Climate Tech Nearly Remote (travel into London) Salary up to £100,000 We are the chosen talent provider of an innovative early-stage company in the climate & insurance space. Are you a builder who wants to use your software engineering skills to make a real global impact? We're partnering with a mission-driven organisation developing insurance solutions that enable the climate transition. Their products reduce the risk of Net Zero transformations worldwide, unlocking climate finance and supporting communities, economies, and sustainability efforts across the globe. They’re a small but highly experienced team of tech and insurance pioneers, and they’re looking for a Senior Software Engineer to help shape the future of their platform. What You'll Do: • Play a major part in designing and building the systems that power their carbon insurance products., • Own and extend their core policy administration system (built on an industry leading, modern, configurable, API-first platform)., • Build integrations with partners, data providers, and AI-driven underwriting workflows., • Lead architectural decisions and evaluate technical tradeoffs., • Develop data architecture for reporting and analytics., • Collaborate closely with product, underwriting and customer teams to turn ideas into reality. The Ideal Candidate will: • Be an expert in Python and Java Coding., • Have strong experience in backend software development across multiple languages/tech stacks., • Have experience in early-stage startups where adapting and learning are part of everyday life., • Be confident working with a wide range of stakeholders across tech, climate, and insurance., • Have a genuine interest in climate impact and the growing science of carbon reduction and removal. Bonus Experience: familiarity with insurance or insurtech. What's in it for you? • Competitive salary up to £100,000, • Remote-first working, • Unlimited Holiday, • Long-term equity plan, • Enhanced pension, • Health, dental and vision cover, • Monthly allowances (internet, phone, fitness) If you are interested in learning more, please apply within or reach out to Jake Carrington at Eden Smith Group. 💻

🌍 Founding Engineer – Stealth AI Startup | London | £100–140k • Location: London (Onsite), • Compensation: £100,000–£140,000 + meaningful equity, • Start date: Flexible, but ideally soon I'm hiring for a stealth-stage AI startup founded by two individuals who have worked at some of the biggest names in the space. Backed by deep technical roots and a bold vision, they’re rethinking how enterprises interact with AI, by teaching systems directly through human decision-making. They are a small team with less than 10 heads, and they're now looking for a founding-level engineer to join the core London team. Tech stack: • Frontend: React, Next.js, TypeScript, • Backend: Python, FastAPI Happy for candidates to lean towards to backend or the frontend Why this role stands out: • Stealth-stage, high-impact: You’ll work on tech that’s pre-launch but already being used by early design partners., • Truly novel approach: Building systems that learn from human behaviour rather than traditional fine-tuning., • Deep product involvement: Ship fast, iterate constantly, and help define how AI will interface with the enterprise. If you're a Full Stack Product Engineer who thrives in fast-paced, early-stage environments and you're excited about the future of AI automation — Apply now!! 🌍 Founding Engineer – Stealth AI Startup | London | £100–140k

Founding Backend Engineer | Python, TypeScript, LLMs, RAG | Seed-Funded B2B SaaS | £100,000 - £160,000 + Early Stage Equity | London, Hybrid | Can Sponsor + Relocate The Company We’re supporting a well-funded Seed-stage B2B SaaS startup backed by top-tier European investors. They are automating a traditionally manual, data-heavy operational process that sits at the heart of large online businesses. The platform is already in use with several enterprise customers, and funding has been secured to scale engineering and deliver an AI-driven product roadmap. You’ll be joining very early, working with an experienced founding team who have previously built and scaled well-known tech companies. The next phase is product expansion, deeper automation, and building intelligent systems that turn unstructured data into actionable insights at scale. About the Founding Backend Engineer | Python, TypeScript, LLMs, RAG | Seed-Funded B2B SaaS | £100,000 - £160,000 + Early Stage Equity | London, Hybrid | Can Sponsor + Relocate As the Founding AI Engineer, you will architect and build production-grade AI features into the core platform. The role blends backend engineering, data processing, and practical AI/LLM deployment. Your work may include: • Designing AI-powered workflows for unstructured and semi-structured data, • Building intelligent document processing, matching and extraction, • Developing scalable pipelines and APIs in Python, • Working on retrieval, embeddings, and search, • Productionising LLM-driven features for real customers This is a hands-on engineering role with high ownership. You will collaborate directly with the CTO and founding engineers, and have real influence over architecture, model choice, tooling and product direction. Requirements for Founding Backend Engineer | Python, TypeScript, LLMs, RAG | Seed-Funded B2B SaaS | £100,000 - £160,000 + Early Stage Equity | London, Hybrid | Can Sponsor + Relocate • Strong backend engineering experience (Python preferred), • Experience working with LLMs, NLP or applied machine learning in production, • Understanding of data pipelines, distributed systems or large-scale processing, • Cloud experience (AWS, GCP or Azure), • Comfortable in fast-paced, high-ownership environments, • Excellent communication and product mindset Experience in a startup or scale-up is a strong advantage, but not required if you can demonstrate ownership of end-to-end systems. What’s on Offer for Founding Backend Engineer | Python, TypeScript, LLMs, RAG | Seed-Funded B2B SaaS | £100,000 - £160,000 + Early Stage Equity | London, Hybrid | Can Sponsor + Relocate • Up to £140,000+ salary + meaningful early-stage equity, • Hybrid working, East London office (3-4 days per week), • Chance to shape technical strategy and culture from day one, • Real-world AI problems with paying customers and immediate impact, • Long-term progression into Principal or Head of AI If you’re interested in the Founding Backend Engineer | Python, TypeScript, LLMs, RAG | Seed-Funded B2B SaaS | £100,000 - £160,000 + Early Stage Equity | London, Hybrid | Can Sponsor + Relocate, apply today. If your background fits, we’ll reach out to discuss next steps.

Role: Head of Engineering (hands on) Salary range: 100-150k Location: Central East London (x3 days per week onsite - Tues/Wed/Thurs) Tech stack includes: React, Angular, Typescript, NodeJS, NestJS, GCP, Python, PostgreSQL Current team size: x2 Engineers, x1 Data Scientist & x1 ML Engineer We're working with a SaaS startup company that helps brands actually see what’s working when they partner with creators. They mix playful audience feedback with campaign data to show how people really respond — giving teams the clarity they need to make smarter decisions next time. Reporting into the CEO directly, combination of hands on coding alongside managing the team, 50% hands on coding to start, with the view longer term to be flexible on becoming less if you desire. Essentials for this role: • Early stage startup experience e.g. founder engineer, ex founder or part of the journey early on., • Strong full stack Typescript experience - preferably backend lean., • At least a few years managing a team. Bonus: • Adtech / Martech experience, • Hands on experience with Data & ML No sponsorship available sorry!

Here at Primus we are working with an exciting organisation that is undergoing a significant modernisation of its technology landscape. They’re investing heavily in cloud platforms, integrations, and automation to support long term business growth. As part of this transformation, they’re looking to hire a Back End Integration Engineer to join their team. The role This is a hands on engineering role focused on designing, building, and maintaining secure, scalable, and reliable integrations across a complex systems landscape. You’ll play a key role in improving how applications and data interact, working closely with engineering and business teams to deliver robust integration solutions. Key responsibilities • Design, develop, and deliver integration solutions connecting enterprise systems, cloud platforms, and external services, • Create and support backend services including APIs, messaging solutions, workflow orchestration, and data interaction layers, • Implement appropriate integration approaches while adhering to security controls, architectural standards, and regulatory guidelines, • Contribute to technical design forums, helping shape solution direction and promote strong engineering standards, • Build reusable and scalable integration assets to improve delivery speed and consistency, • Produce clean, secure, and maintainable backend code using modern development languages such as C# or Python, • Support automated build, test, and deployment processes, including peer code reviews, • Deliver work within iterative, agile-based development cycles, • Assist with incident investigation, issue resolution, and post-deployment support, • Collaborate with cross-functional teams including product, engineering, data, and architecture stakeholders, • Convert business needs and technical requirements into practical and effective integration designs, • Review system performance and reliability, identifying opportunities to streamline solutions and reduce complexity, • Ensure integration solutions meet security, risk, and compliance expectations Essential experience • Strong hands on experience designing and building APIs, services, and system integrations, • Solid understanding of integration patterns (REST, messaging, event driven, orchestration), • Experience with cloud integration services such as Azure API Management, Service Bus, Event Grid, Functions, • Proficiency in back end development (C# or Python) with a strong focus on secure coding, • Experience with CI/CD, automated testing, and modern engineering practices, • Strong problem solving skills and the ability to collaborate across technical and non-technical teams Benefits • Salary: up to £80k + bonus, • Private medical insurance, • 31 days holiday, • 10% non contributory pension, • Income protection, • Life cover If this aligns with what you are looking for next, apply today!

We are a small London startup with the ambition to change education with ML-powered tutoring. Our flagship product is a mobile application for teaching English to intermediate and advanced learners. We’re on the verge of solving one of the biggest challenges in education – making high-quality, personalised learning accessible to everyone. We are building a fundamental model for education - one that can accurately predict student knowledge and orchestrate lessons, adapting to the students needs. We’re looking for a Lead ML Engineer, with a proven track record of delivering ML models to production, to own the ML team in our growing company. What you will do 🚀 • Build fundamental models for education - solving the ultimate learning task of predicting student knowledge and optimal ‘next task’, • Work with a vast amount of unique data - we have data from over 1M language tests, including text and voice data, • Create brand new dictionaries, applicable to any context - right now it’s the English language, but in the future it could be other languages or even subjects such as Mathematics, • Analyse large amounts of diverse data - including data from every movie, book, and song, • Work in a cross-functional team and communicate with backend engineers and product managers, • Create new types of tests for language learners to gather more test results, analyse them, and build prediction models based on these results, • Optimise and fine-tune machine learning models for performance, scalability, and accuracy, • Lead our ‘AI Powered Education’ meet-up in London, building a network of ML specialists Essential skills 🙏 • Experience leading and mentoring other ML engineers, • Complete end-to-end experience - from finding and cleaning data all the way to monitoring models in production, • Experience taking complete ownership of entire ML systems and data pipelines in large-scale production systems, • Experience building automated data pipelines, • Strong understanding of CI/CD pipelines and automation tools for efficient model deployment and monitoring, • Strong understanding of neural networks, CNNs, RNNs, LSTMs, and transformers, • Great knowledge of NLP algorithms, • Expertise in Python and PyTorch Desirable Skills 👌 • Can speak, or learning to speak, more than one language, • Experience with reinforcement learning, • Knowledge-sharing experience (tech talks, articles, YouTube videos, etc.), • Experience using voice data in ML models What we can offer ✨ • Lead an ML team that will become the leading specialists in ML-powered education, • A real-deal startup adventure: you'll be hopping on a major project while it's still in the works!, • Freedom to suggest, implement, and test ideas, • Unlimited learning & development budget (courses, conferences, books etc.), • Lunch provided by the company every day, • Regular social events, • 25 days annual leave + public holidays, • Work from our London office Interview Process 🧪 • 3 interviews, which will be mixture of technical and non-technical tasks, • If all the interviews are successful, we’d like to invite you to 2 or 3 paid trial days, or to complete short project remotely with us, to learn what it’s like to work at Glite

About Zeus Zeus is a leading logistics technology company focused on digitising, automating, and optimising supply chains through AI-powered solutions. Our integrated platforms Zeus Command, Zeus Command AI, and Zeus Connect streamline freight operations, enhance efficiency, reduce costs, and provide real-time visibility. Founded to modernise the transport and logistics sector, Zeus has grown into one of Europe’s fastest-growing logistics tech companies, working with major enterprises across multiple countries. Backed by advanced AI and sustainable transport solutions, Zeus is shaping the future of logistics. As we continue to scale, we’re looking for passionate individuals to join our team and help drive innovation in supply chain technology. If you're excited about AI, automation, and revolutionising logistics, Zeus offers an opportunity to work in a fast-paced, dynamic environment with leading industry expertise and state-of-the-art technology. About this job Location London (United Kingdom) or Belgrade (Serbia) The mission As a DevOps Engineer, you’ll own the infrastructure and tooling that power our platform. You’ll help keep our systems fast, reliable, and scalable as we onboard major customers. Your work will remove friction for developers, increase delivery speed, improve reliability for clients, and shape how our engineering team builds and ships software. What you’ll do Within your first month • Understand our product, infrastructure, and delivery workflows, • Identify pain points and opportunities in our current platform, • Support small infrastructure and deployment changes Within your first three months • Collaborate on building CI/CD pipelines, • Support the team with monitoring and alerting, • Contribute to architectural and infrastructure decisions Within the first six months • Standardise our monitoring and observability dashboards, • Optimise cloud costs as we continue to scale, • Improve the developer experience and internal tooling, • Help engineers self-serve common operational task Must-have • Experienced with cloud-native systems in AWS, • Comfortable managing infrastructure as code (Terraform, CloudFormation, Pulumi, etc.), • Familiar with Docker and containerised workloads, • Proficient with Git, • Confident in networking fundamentals, • On board with DevOps and Continuous Delivery principles, • Good communicator in English, both when speaking and listening, • Easy to work with and collaborative, • Familiar with cloud security best practices Nice to have • Have working knowledge of JavaScript and/or Typescript, • Understand how JavaScript packages and package managers work, • Have relational database administration skills, preferably Postgres, • Have experience with CI/CD tooling and building pipelines (Jenkins, GitHub Actions, GitLab CI, etc), • Familiar with observability tooling (Prometheus, Grafana, etc), • Willing to create or update your LinkedIn account to reflect your employment with Zeus Labs Our tech stack • Languages/Frameworks: TypeScript, Angular, React, Express, Python (FastAPI), • Testing: Jest (backend unit), planned Cypress + backend acceptance tests, • Data: PostgreSQL (TypeORM), DynamoDB, Valkey, • Architecture: SNS/SQS event-driven systems, • Infrastructure: Amplify for frontend, ECS Fargate for backend, CodePipeline, • Data infra: Lambdas, Firehose, Athena, • Tooling: GitHub + GitHub Actions, npm/yarn, Jira, Confluence, Slack Interview process • Intro conversation with tech & product leadership, • Technical interview with a DevOps Engineer + VP of Engineering, • Casual team chat with the engineers you’ll work with What we offer • Private health insurance, • Pension plan, • Central working location, • Hybrid working, • Casual dress code, • Stocked kitchen and as much coffee & tea as you can drink, • Your own Mac or PC laptop and software subscriptions, • Discounted Gym memberships, a variety of virtual classes and seminars free of cost, discount coupons for all the major brands via Charlie HR perks, • Car rental scheme, • L&D via Udemy sponsored by Zeus, • Employee Assistance Program - Provides free of cost psychological, legal and medical counselling

About Us: We’re a VC-backed stealth-mode company building behavioural AI solutions for the retail industry. Our platform is designed from the ground up — no legacy, no patchwork systems — just a clean slate and a clear vision. Our mission is to bring the intelligence of modern machine learning directly to the in-store shopping experience. Role: We’re looking for an experienced Full Stack Engineer to work closely with product, design, mobile, and machine learning team members to design & build experiences that re-define in-store shopping. You'll help help build engaging & intuitive web experiences and the event-driven & real-time backend services that power them. You’ll work across the stack, implementing highly responsive UI components and real-time data flows and APIs on a backend designed for scale & flexibility. Responsibilities: • Design and implement reactive, real-time web interfaces that help manage & redefine what is possible with in-store content personalisation, • Contribute to distributed, event-driven backend services connecting our web experience with information from remote devices and external data sources., • Build and document APIs (OpenAPI/AsyncAPI) for mobile and web clients, • Model and manage structured and semi-structured data across storage layers, • Integrate AI-driven personalisation and real-time insights into user flows, • Contribute to overall system design: service boundaries, data ownership, scaling, and observability Essential Qualifications: • Built modern full-stack applications (Python/Java/Go + React), • Worked with a variety of storage technologies (eg. Postgres, Mongo, Redis, Object), • Experience with async and bi-directional communication protocols and patterns (eg. WebSockets, SSE), • Designed and implemented event-driven distributed systems (eg. Kafka/Pulsar, RabbitMQ, MQTT, or similar), • Experience with container orchestration and service containerisation (Kubernetes, Docker), • Built and deployed services on any major cloud providers' services (Azure, GCP, AWS), • Worked with AI development tools (eg. Bolt, Lovable, Cursor) to speed up iteration & prototyping Nice to Have: • Worked with real-time data collection and/or processing, • Worked in an IoT or Edge-oriented architectures, • Experience or knowledge in retail POS, inventory, or loyalty systems

About Us: We’re a VC-backed stealth-mode company building behavioural AI solutions for the retail industry. Our platform is designed from the ground up — no legacy, no patchwork systems — just a clean slate and a clear vision. Our mission is to bring the intelligence of modern machine learning directly to the in-store shopping experience. Role: We’re looking for an experienced Frontend Engineer to work closely with product, design, mobile, and machine learning team members to design & build experiences that re-define retail shopping. You'll help help build engaging & intuitive web experiences using highly responsive UI components and real-time data flows. Responsibilities: • Design and implement reactive, real-time web interfaces that help manage & redefine what is possible with in-store content personalisation, • Understand & advocate for user needs/wants, • Translate user and business needs into functional frontend code, • Contribute to API and broader system design & documentation Essential Qualifications: • Strong understanding of UX principles and web design fundamentals, • Expert in Javascript, Typescript, HTML, and CSS, • Extensive experience with modern web frameworks and patterns (eg. React, Next.js, Tailwind), • Experience with real-time and bi-directional communication protocols and patterns (eg. WebSockets, SSE), • Built and deployed services on any major cloud providers' services (Azure, GCP, AWS), • AI-Native development: fast iteration & prototyping using AI tools such as Lovable, Bolt, or Cursor as a collaborator. Nice to Have: • Some experience in backend development (Python/Java/Go), • Experience with container orchestration and service containerisation (Kubernetes, Docker), • Worked in an IoT or Edge-oriented architectures, • Experience or knowledge in retail POS, inventory, or loyalty systems

Safe Intelligence is on a mission to make AI safe and reliable for everyone. To help us achieve this, we're seeking a Full Stack Software Engineer to join our team! We're particularly looking for someone with strong Golang, Typescript and Kubernetes experience. Python skills would also be a welcome bonus! We’re looking for experience of different types of architectures and understanding of the tradeoffs between them. In this role, you'll be a senior contributor to the development and operation of our cutting-edge cloud-based platform. You should have a passion for both science and engineering, a proven ability to deliver production-ready solutions, and a collaborative spirit to work closely with our product and research teams. Note: the role is 3-4 days per week in the office in London (based in Hammersmith). We're excited to have you contribute to our mission! Responsibilities: As a Safe Intelligence Full Stack Software Engineer, you will: • Engineering of Golang-based backend systems, focusing on API development and integration., • Engineering on our TypeScript-based frontend systems, primarily utilizing React to craft intuitive and highly functional user interfaces., • Productize and enhance our Kubernetes-based cloud platform to ensure high-availability, scalability, and cost-efficient ML workflows., • Work proficiently across the entire stack to develop and integrate new features related to model versioning, dataset management, verification workflows, and result/metric aggregations., • Collaborate closely with our scientific and technical teams to interface with and containerize our PyTorch-based verification toolkit., • Champion an API-first development approach to deliver feature-rich, versioned interfaces that support both our TypeScript user interface and Python-based SDKs., • Develop and maintain Infrastructure as Code (IaC) and DevOps pipelines to ensure reliable service delivery and updates. Requirements: The technical requirements for the role are: Must have: • Ability and experience in system programming using Golang. This includes knowledge of database (MongoDB) access patterns (e.g., Optimistic Concurrency Control - OCC) and schema design, domain-driven architecture, and concurrency., • Proven experience developing production-grade RESTful APIs ideally with an API-first approach., • Some proficiency in JavaScript/TypeScript-based frontend development, with extensive expertise in React. This includes a deep understanding of the DOM, component design, CSS, and state management., • Familiarity with Kubernetes-specific platform components and principles, such as load balancers, cluster DNS, autoscalers, API/SDK toolsets, and the operator pattern. Experience developing and containerizing microservice applications is a plus., • Proficiency in integration and unit testing, with a strong commitment to code quality and maintainability., • Strong knowledge of DevOps and Git best practices. Experience automating version control, testing, and releases, preferably with GitHub Actions. Nice-to-have: • Familiarity with the OpenAPI specification and code generation toolsets for API development., • Some experience with Python, modern development techniques, and design patterns. Experience in data science tools and ML tools (e.g., NumPy, pandas, scikit-learn, PyTorch) and open-source contributions (especially Python-based) would be a bonus. Familiarity with CUDA, GPU-based computations, end-to-end neural network training, MLOps, and academic research in machine learning are also beneficial., • Experience configuring and maintaining cloud infrastructure including network infrastructure, compute, access control policies, load balancers, Public Key Infrastructure (PKI), and DNS. Ideally, experience with AWS and Terraform or similar IaC tools. At a personal level we’re also looking for someone who is: • Passionate about delivering software to realize safe AI solutions in line with client needs., • Deeply technical and constantly in a state of learning., • Able to communicate clearly and efficiently with a variety of audiences including developers, clients, researchers, partners and executives., • Fearless in getting "hands-on" with technology and execution., • Has a strong understanding of modern software engineering processes., • Comfortable with ambiguity with a drive for clarity., • Collaborative with, and respectful of others on the team., • Honest, straightforward and caring about each other’s well being. Why Safe Intelligence is for you: We strongly believe AI can empower individuals and society to be happier and more productive, but this can only be achieved if the systems we build are safe to use. To meet this need, we are developing advanced deep validation techniques and tools that allow AI/ML engineers world-wide to validate the robustness of their models, as well as repair the fragilities that they discover. By joining us, you’ll be able to help advance the techniques, bring advanced technologies to AI/ML engineers worldwide and contribute to our shared mission to realise successful and reliable AI. Grow with us! If you think you can bring something special to this role, please apply even if you do not meet all listed criteria. Safe Intelligence is exploring uncharted waters, and finding the right crewmates is important to us. We support ongoing learning for the whole team, ranging from individual mentorship to internal seminars and support for sector and technology-specific upskilling. Compensation & Benefits Safe Intelligence provides competitive compensation based on role and candidate experience. In addition, company benefits for all roles include: • Stock option benefits, • Mentoring, learning and development allowance, • Regular team social and work events, • Flexible and generous holidays. We work hard and encourage everyone to take time off to recharge and enjoy other aspects of our lives. Equality and Inclusion We are proud to be an equal-opportunity employer and work hard to create an environment where people of diverse backgrounds and life experiences can thrive. The team is highly collaborative and meritocratic. Great ideas come from everywhere, and we strive to make it easy for people to express themselves and be heard. Location & Office Culture Safe Intelligence is based in London, UK, and we’re focused on building the initial team here. We highly value the ability to work flexibly and remotely at times, but we also have a strong belief that regular in-office interactions make for a much more fulfilling and productive work experience. Our company culture combines optimism for the future (hard problems can be solved with the right effort), speed of iteration (the best ideas come from many ideas tested), and rigour in what matters (correctness and precision are critical for safety). Come and join us to add your skills and passion to the future of Safe Artificial Intelligence!

We are a small London startup with the ambition to change education with ML-powered tutoring. Our flagship product is a mobile application for teaching English to intermediate and advanced learners. We’re on the verge of solving one of the biggest challenges in education – making high-quality, personalised learning accessible to everyone. We are building a fundamental model for education - one that can accurately predict student knowledge and orchestrate lessons, adapting to the students needs. We’re looking for a Senior NLP Engineer, with a proven track record of delivering ML models to production, to join the ML team in our growing company. What you will do 🚀 • Build fundamental models for education - solving the ultimate learning task of predicting student knowledge and optimal ‘next task’, • Build fully-automated pipelines for dictionary building; including span identification, word sense distribution, and sense granularity decision, • Work with a vast amount of unique data - we have data from over 1M language tests, including text and voice data, • Create brand new dictionaries and train models to determine the difficulty of words, idioms, phrasal verbs etc., • Analyse large amounts of diverse data - including data from every movie, book, and song, • Work in a cross-functional team and communicate with backend engineers and product managers, • Create new types of tests for language learners to gather more test results, analyse them, and build prediction models based on these results, • Optimise and fine-tune machine learning models for performance, scalability, and accuracy Essential skills 🙏 • Strong expertise in NLP, • Complete end-to-end experience - from finding and cleaning data all the way to monitoring models in production, • Strong understanding of neural networks, CNNs, RNNs, LSTMs, and transformers, • Experience building automated data pipelines, • Hands-on experience with LLM tooling and libraries (e.g., Hugging Face Transformers/PEFT, tokenisers, spaCy or similar), • Experience shipping NLP systems: prompt engineering, fine-tuning (e.g., LoRA/PEFT), vector search, and RAG-based services, • Great knowledge of NLP algorithms: tokenisation, embeddings, attention, language modelling, text classification/generation, and information retrieval Desirable Skills 👌 • Can speak, or learning to speak, more than one language, • Experience with reinforcement learning, • Knowledge-sharing experience (tech talks, articles, YouTube videos, etc.), • Experience using voice data in ML models What we can offer ✨ • A real-deal startup adventure: you'll be hopping on a major project while it's still in the works!, • Freedom to suggest, implement, and test ideas, • Unlimited learning & development budget (courses, conferences, books etc.), • Lunch provided by the company every day, • Regular social events, • 25 days annual leave + public holidays, • Work from our London office Interview Process 🧪 • 3 interviews, which will be mixture of technical and non-technical tasks, • If all the interviews are successful, we’d like to invite you to 2 or 3 paid trial days, or to complete short project remotely with us, to learn what it’s like to work at Glite.

Frontend / Fullstack Engineer We are partnered with a rapidly scaling AI & analytics organisation recognised internationally for innovation, growth, and technical excellence. With multiple industry awards and a global footprint across Europe, the US, the Middle East and Africa, they build cutting-edge platforms that help major enterprises understand customer behaviour at massive scale. Operating at the intersection of AI, behavioural analytics, and enterprise data, this company supports clients that collectively manage tens of millions of customers and process billions of interactions daily. Their technology enables organisations to build more meaningful, sustainable, and profitable customer relationships—with a focus on privacy-first signal intelligence and highly accessible insights. The team has grown to 100+ people across several international hubs and continues to scale quickly. This is a chance to join a business that combines the agility of a fast-growth scale-up with the robustness of a mature, award-winning product ecosystem. Why Join? • Cutting-edge work: Build modern user interfaces that interact with advanced AI, data intelligence and agent-driven systems., • Award-winning environment: Multiple industry wins across AI, analytics, and ethics/diversity categories., • Impactful role: Shape the user-facing experience of a platform used by major global organisations., • Career acceleration: Fast-moving environment with clear opportunities to expand remit and ownership. We’re seeking a Frontend / Fullstack Engineer who enjoys owning features end-to-end and crafting intuitive, elegant, high-quality user experiences. This role sits at the heart of the product, transforming complex data and AI-driven intelligence into interfaces that feel simple, fast, and powerful. You’ll collaborate closely with product, design, and AI engineering teams—turning concepts into production-ready experiences, integrating with backend APIs, and continuously iterating based on user feedback and performance metrics. If you have an eye for detail, enjoy solving product-centric problems, and love building beautiful, functional UIs, this role is for you. What You’ll Do • Build intuitive, performant, and scalable user interfaces for both client-facing and internal applications., • Translate concepts, prototypes, and Figma designs into polished, production-ready interfaces., • Own fullstack delivery when required—connecting frontend components to backend APIs and services., • Collaborate with product and design on feature definition, workflows, and UX iteration., • Contribute to the design system, shared component libraries, and frontend architecture., • Integrate UIs with AI-driven agents, workflows, and real-time interactive experiences., • Apply best practices in testing, accessibility, performance, and maintainability., • Participate in design reviews, code reviews, and broader engineering knowledge sharing. Core Skills • Strong foundations in modern Frontend engineering: JavaScript/TypeScript, React, component patterns, state management, performance and accessibility., • Ability to translate product ideas and design assets into production-quality experiences., • A product-oriented mindset—focused on usability, business value, and the “why” behind features., • Solid Fullstack fundamentals with Node.js or Python, API development, and debugging across the stack., • Experience building data-rich interfaces, dashboards, visualisations, or complex workflows., • Interest in AI-driven UI patterns, agent interactions, or conversational interfaces., • Good design sensibility and appreciation for clean, intuitive UX., • Experience with Next.js, monorepos, or modular architectures. Agent & AI Development • TypeScript, React, Redux, • Next.js, • Python, Node.js This is an excellent fit for someone who: • Loves building polished, modern, user-centric interfaces., • Enjoys switching between frontend craftsmanship and pragmatic fullstack work., • Thrives in collaborative, product-focused environments., • Wants to work with AI-driven systems at real enterprise scale.