69 jobs found

Salary:£70k - £90k+ bonus Location:Brighton or Remote (UK only) About Us Rittman Analytics is an analytics consultancy based in Brighton, UK. We work with organizations to modernise and scale their data analytics capabilities based on a modern data stack based on Google Cloud and other partner technology. We work with our clients to design, build and support innovative analytics solutions that empower end users to answer their own questions - we are experts in the modern data stack. Why Rittman Analytics? We are a company made up of passionate engineers and consultants. We are striving to be a Great Place to Work with a culture that encourages you to be your best self. Our Values Pursue Expertise: A commitment to deep technical and individual expertise through continuous learning to ensure that our services and people are industry leading Delivering on our Promise : A steadfast commitment to delivering on the promise we make to clients, ensuring that solutions are delivered impeccably and add significant value Integrity & Transparency: A pledge to foster transparent communication with our team and our clients, ensuring clients can rely on both the data and the commitment of the firm The Role As Senior Analytics Consultant at Rittman Analytics you will lead the delivery of key client projects for our clients in the UK, Northern Europe and North America. Your responsibilities will involve building trusted relationships with our clients, finding creative ways to solve problems, scoping projects and delivering those projects either on your own or as the lead in a small team. Successful candidates will bring experience with Google Cloud, our strategic technology partner, along with modern data stack technologies such as dbt, Looker, Fivetran, Segment and Cube. Ideally you'll already have a relevant Google Cloud Certification (Data Engineer is preferred) or be committed to obtaining that certification within your first three months with us. Most importantly, you should have experience and a desire to work within a consulting environment, thriving on managing multiple concurrent projects and delivering to deadlines and client expectations. You'll work with stakeholders at all levels of technical experience and seniority, work on cutting-edge projects with a top-tier team and engage with stakeholders of all levels of technical and management seniority on projects you lead or deliver as part of a team. You'll be responsible for 1. Delivering and Leading Analytics Projects You will deliver - and often lead - analytics and data engineering projects, including: Configuring and implementing cloud and database infrastructure using tools such as Google Cloud, Google BigQuery and Google Cloud SQL Transforming and modelling data using tools such as dbt, Dataform and Cube Developing dashboards, explorations and data visualisations using tools such as Looker, Preset, Power BI and Superset Developing test plans and testing data to ensure it is of high quality Running and leading projects using Agile scrum/kanban techniques, and ensuring deliverables are in a reviewable state before sprint ceremonies Leading technical discussions with clients where you propose approaches, defend decisions and control the narrative on your workstream. Developing and implementing monitoring and optimisation strategies for development workloads 2. Architecting Solutions Leading the discovery of, and documenting, business logic and data definitions using language understandable to a non-technical audience, using terms they can read and validate Working with prospects, customers and RA sales/senior management teams to create solution architectures Designing data flows, data models and data orchestrations 3. Owning Project Blockers and Risk A Senior Analytics Consultant is commercially accountable for the success of their engagement - not just technically contributing to it. This means: Identifying blockers early and driving them to closure yourself, rather than waiting for a Delivery Manager or colleague to formalise the next step on your behalf Proactively calling alignment sessions when ambiguity exists - on KPI definitions, data models, or business logic - rather than assuming agreement has been reached Committing to and booking follow-up actions with clients immediately during or after a session, not "as soon as I can" Ensuring that critical preparatory work is complete before going offline, and escalating delivery risk in advance if it cannot be 4. Managing Your Own Readiness Obtaining Google Cloud Data Engineer certification within six months of you starting this role, if you don't already have it Maintaining your dbt and Looker developer certifications Arriving on a project already proficient in the agreed toolset, or having flagged skill gaps with your project manager before they surface in client-facing sessions Staying updated with the latest data engineering technologies and methodologies, including gaining familiarity with new tools and techniques ready for work you are likely to be assigned to 5. Mentoring and Internal Communication Mentoring and guiding more junior consultants Using daily standups to proactively signal progress, flag risks, and name dependencies - not just describe what you're currently doing Escalating clearly when blocked or uncertain rather than assuming things are "probably fine" 6. Collaboration Collaborating closely with our Head of Delivery and CEO to align analytics and data engineering work with client and business goals. What We're Looking For Must-Haves: Real-world commercial experience with Google Cloud, Looker, dbt, Google BigQuery Experience in a consulting role and a strong ability to manage multiple concurrent engagements Outstanding analytical, problem-solving and technical skills, a head for numbers and an attention to detail An excellent grasp of SQL, data modelling, cloud data warehousing and database design Experience using software development methods (git, CI/CD, code reuse etc) in an analytics context Confidence in your ability to manage relationships (partners, clients, prospects, etc.) and to work constructively with stakeholders at all levels of technical and data maturity Based in the UK, excellent written and spoken English skills Nice-to-Haves An entrepreneurial mindset that is motivated by both the commercial and technical aspects of working for a consultancy, bringing a desire and interest in helping us, and our clients, grow their businesses Experience and certifications in other modern data stack tools such as Fivetran, Snowflake, Segment, Airbyte etc Based in Sussex or South-Eastern England What Success Looks Like as a Senior Analytics Consultant Client Leadership You lead technical discussions in client sessions - proposing approaches, defending decisions, and steering the conversation, rather than deferring to colleagues to explain your workstream Client stakeholders regard you as the person accountable for your area of the engagement; you control the narrative and proactively call meetings when alignment is needed You schedule follow-up commitments with clients immediately when they arise, not reactively after the fact Ownership and Proactivity You drive blockers to closure yourself - KPI sign-offs, alignment sessions, outstanding decisions - without needing a Delivery Manager to prompt or formalise the next step on your behalf You identify and communicate risks early, in standups and in writing, with enough notice for the team to respond; you do not go offline with critical work incomplete without first escalating the risk You self-remediate skill or knowledge gaps before they surface in client-facing sessions Delivery Quality Your deliverables - business definitions, data models, KPI documentation - are written for their intended audience, in plain language that client stakeholders can read and validate without interpretation Your work is in a reviewable state before sprint ceremonies, not mid-action when the team needs to estimate or plan around it Technical Contribution You are sought out as a mentor and the "teammate of record" for your area of expertise You regularly scope and stage work into well-defined milestones You lead adoption of new technologies and methodologies when necessary You contribute actively to our internal Knowledge Base, Technical Tutorials and internal Analytics Commercial Contribution You build outstanding rapport and reputation with clients You support our Head of Delivery and CEO in winning and retaining successful clients Benefits 26 Days Annual Leave + your birthday, or next working day if it falls on a weekend A bonus scheme that pays 3% of the project revenue above your target that is attributed to you over a quarter, conditional on achieving 9 or greater in NPS Survey results for projects you're involved in Flexible Bank Holidays policy, enabling you to exchange a government-set public holiday for a more convenient time off, such as to celebrate a religious festival (post-probation period) Company Bonus Scheme Life Assurance Private Medical Insurance . click apply for full job details

Senior Embedded Software Engineer (Firmware) Cambridge, UK The salary range for this role is broad, as we are able to consider varying levels of experience. Any offer made will carefully take into account level of experience (including relevant industry experience), transferable relevant skills and previous relevant achievements. Please indicate your preferred working schedule in your cover letter. About us Riverlane's mission is to master quantum error correction (QEC) and unlock a new age of human progress. From advances in material and climate science, to complex chemistry simulation for new drug design, quantum computers will help humanity solve some of its most important challenges. But without QEC, the industry's defining technical challenge, such breakthroughs can never be achieved. Riverlane is the world leader in QEC technology. QEC is a complex problem that requires a range of skills, talent and passion. Having raised more than $125M in funding to date to accelerate our cutting edge R&D in quantum error correction (QEC), Riverlane partners with many of the world's leading quantum hardware providers and government agencies to make fault tolerant quantum computing a reality. We're making remarkable progress and growing fast. About the role At Riverlane, we build new and advanced solutions to solve one of the hardest problems in quantum computing: quantum error correction (QEC). As a Senior Embedded Software Engineer at Riverlane, you will help build the world's first quantum error correction stack Deltaflow. This cutting edge work will involve collaborating with our world class engineering, product and quantum physics teams to design, build and deliver this stack. At Riverlane, we are creating something truly unique, complex and large scale, so being comfortable with engineering to evolving specs is key. As such, you will be happy and excited to get hands on quickly in areas outside your own expertise. You will also work well with different people and be team oriented. Prior quantum computing knowledge is not necessary - you will learn this along the way! What you will do Design and build embedded software components for our quantum error correction stack, specifically targeting features that aid with seamless deployment of our product to partners Develop test infrastructure to verify and benchmark whole system correctness and performance Work alongside our Product and Quantum Science teams to understand the requirements and constraints for this cutting edge system What we need A Bachelor's degree (or equivalent) in Computer Science, Electronic Engineering, Physics, Maths or a related discipline Excellent communication skills and an ability to work with a diverse range of people are essential Proficiency with a scripting language, such as Python Curiosity to learn about new technologies, including quantum computing and error correction A deep understanding of how hardware implements software Experience with standard development practices, such as source control, continuous integration and unit testing Hands on experience of working alongside hardware design Experience writing embedded software in high performance applications What can you expect from us A comprehensive benefits package that includes an annual bonus plan, private medical insurance, life insurance, and a contributory pension scheme Equity, so that our team can share in the long term success of Riverlane 28 days annual leave, plus bank holidays and enhanced family leave A diverse work environment that brings together experts in many fields (including software and hardware development, quantum information theory, physics and maths) and over 20 different nationalities A learning environment that encourages individual, team and company growth and development, including a regular programme of learning events and training and conference budgets Equal opportunities Everyone is welcome at Riverlane. We are an equal opportunities employer and encourage applications from eligible and suitably qualified candidates regardless of age, disability, ethnicity, gender, gender reassignment, religion or belief, sexual orientation, marital or civil partnership status, or pregnancy and maternity/paternity. Women and other under represented groups may be less likely to apply for a role unless they meet all or nearly all of the requirements. If this applies to you, we still encourage you to apply - you may be a great fit, even if you don't meet every single qualification. We'd love to hear from you. If you need any adjustments made to the application or selection process so you can do your best, please let us know. We will be happy to help.

What's the role?: We're looking for brilliant, well-rounded Engineering Consultants who specialise in the .NET ecosystem. At Nimble, you're more than a developer; you're a problem-solver and trusted advisor. You are a polyglot engineer at heart - adaptable, pragmatic, and capable of driving end-to-end delivery. You thrive on taking ownership of the entire software lifecycle - seamlessly bridging the gap between business requirements and technical execution to build, deploy, and maintain complete, fit-for-purpose solutions. What you will do: End-to-End Delivery & Analysis: Shape messy backlogs, clarify ambiguous requirements, and drive features from concept to production. You don't just take tickets; you solve business problems. Drive Holistic Quality: Think in complete solutions. You evaluate "quality" against the client's reality - balancing Total Cost of Ownership, performance, scalability, maintainability, and pragmatic test automation to ensure sustainable success. Engineering in Complex Domains: Deliver robust software across everything from modern cloud-native apps to 20-year-old monoliths. You build the right solution for the client's specific constraints and deadlines. AI-Accelerated Engineering: Seamlessly integrate LLMs and AI tooling (Claude, Copilot, Cursor, etc) into your daily workflow to rapid-prototype, accelerate feature delivery, and cut through legacy complexity. Consulting & Leadership: Guide clients and small teams through uncertainty. You lead by example, bringing calm and clarity to high pressure, fast paced environments. What you need to bring: Consulting Mindset: The ability to build trust, navigate ambiguity, and maintain high performance even when requirements or environments shift. Solution Shaping & Cloud Fluency: The ability to design and shape solutions that are right for the problem at hand. You bring proven experience with cloud providers (AWS, Azure, or Google Cloud) and a solid understanding of modern architectural patterns, including Infrastructure as Code (IaC), containerised systems, and serverless architectures. Deep Technical Foundations: Strong, proven experience across the .NET ecosystem (C#, modern .NET, legacy frameworks), backed by solid SQL and JavaScript skills. Polyglot Mindset: A genuine curiosity and interest in continuous learning. You aren't dogmatic about tech stacks; you view different languages, older legacy systems, and modern front end frameworks (like React, Vue, or Angular) as tools to solve problems, and you are eager to pick them up as the project demands. AI Tooling Fluency: Hands on experience using AI coding assistants and LLMs to actively accelerate your development lifecycle. Agile Pragmatism: Experience thriving in fast paced, collaborative spaces. You aren't afraid to question the status quo and organise chaotic workflows. Who we are: Nimble Approach are a rapidly growing Product & Tech consultancy who deliver value and enhance organisations. We pride ourselves on delivering great projects to multiple clients in different industries including Healthcare, Government, Utilities, Fintech, Manufacturing and more, so there's lots of opportunity to try out new things! We believe in delivering value at pace and enhancing the organisations that we work with. This would not be possible without our amazing Nimble specialists who leave their mark everywhere they go. Our projects are diverse and different, just like our ways of working and our people. One of our key focusses is maintaining a strong culture of pragmatic, skilled, egoless people who collaborate to get things done and have lots of fun along the way. We currently have offices in Sheffield (our HQ), Leeds & Manchester, and we tend to work in a hybrid model. All we ask is that people go into the office a few times a month and for team / client meetings when required. What we offer: Private healthcare for you and a family member through Westfield Health Multiple Qualified Mental Health First Aider's with regular 1-1's available £2k champion fund to spend as you wish on your own L&D Referral scheme (£3,000) for every successful applicant Dedicated time to spend on your L&D, including time to complete courses and qualifications Flat organisational structure with lots of career progression opportunities Laptop and any practicable equipment provided (either a Mac or Windows) Regular Nimble Socials (both virtual & physical) including Escape rooms, Lunches, Award nights, Bowling, Bouldering and more! Relaxed and fun working environment Engaging and collaborative communities to be involved in A chance to be involved in company OKRs and shape how we will be in the future 25 days holiday allowance + bank holidays Company pension (with employer contributions) Equal Opportunities Statement: At Nimble Approach, we strongly believe that discrimination and victimisation is unacceptable. It is our duty to ensure that no employee or job applicant receives less favourable facilities or treatment (either directly or indirectly) in recruitment or employment on grounds of age, disability, gender / gender reassignment, marriage / civil partnership, pregnancy / maternity, race, religion or belief, sex, or sexual orientation (the protected characteristics). Our aim is that our workforce will be truly representative of society and each employee feels respected and able to give their best. We want everyone at Nimble and those applying to join us to feel safe, supported and encouraged so if we can make any adjustments to help with your application or you require any assistance, please reach out to us on and we are happy to help.

About hyperexponential (hx) At hyperexponential, we're building the AI-powered platform that enables the world's most critical decisions in a $7 trillion industry, which risks to take, and how to price them. These are the decisions that shape real-world outcomes: whether rockets successfully launch into space, autonomous vehicles make it to market, or communities recover after major storms. Until now, insurance has been making billion-dollar decisions using outdated tools. We're changing that. Our platform brings together data, AI, and human expertise to give insurers the fastest path from submission to decision - helping them move faster, act smarter, and take on more risk with confidence. Backed by a16z, Highland Europe, and Battery Ventures, we're scaling globally - already trusted by nearly 50 of the world's largest insurers, with zero churn and billions in premiums flowing through hx. What began as a single product in one market has rapidly evolved into a multi-product, multi-territory platform powering every stage of pricing and underwriting. AI is at the core of what we do - from building the world's first domain-specific AI peer programmer for insurance (think GitHub Copilot with a PhD in actuarial science) to shaping agentic workflows that reinvent how this industry operates. What makes hx different is the people who build it. Here, impact isn't tied to title or tenure; it's defined by the challenges you take on and the discipline you bring. Surrounded by peers who stretch you, you'll do the best, hardest work of your life in a company engineered to endure. If that sounds like you, join us in building what comes next. About the Analytics team Engineering at hx drives every breakthrough that transforms how insurers make billion-dollar decisions. Our Analytics team sits at the cutting edge of this mission, building the data systems that unlock the full value of complex insurance datasets. We're turning raw portfolio data into actionable insights that help underwriters and actuaries make smarter, faster decisions on risks worth billions. As a Senior Backend Engineer in the Analytics team, you'll architect and build the foundational data systems that power next-generation insurance analytics. This is greenfield territory - you'll be designing distributed data solutions from the ground up, creating scalable ingestion pipelines, and building the infrastructure that turns complex insurance data into competitive advantage for our customers. You'll work at the intersection of complex engineering challenges and real business impact, collaborating with sharp product and UX minds to create data-driven experiences that fundamentally change how insurers understand and optimise their risk portfolios. If you love solving hard technical problems while seeing direct customer impact, this is where you'll thrive. What You'll Be Doing Build scalable data systems in Kotlin that enable insurers to ingest, process, and explore complex datasets, turning months of manual analysis into real-time insights that drive billion-dollar risk decisions. Design distributed analytics infrastructure on AWS using Terraform, creating robust, cloud native systems that handle enterprise scale data volumes while maintaining reliability and performance. Deliver customer facing analytics features that transform how users understand and optimise risk modelling, building intuitive interfaces for complex portfolio analytics that were previously impossible. Drive technical innovation in data architecture, piloting emerging technologies and AI/ML approaches that continuously improve the analytics experience and unlock new capabilities for customers. Collaborate across disciplines with Product, UX, and Engineering teams to translate complex business requirements into elegant technical solutions that balance powerful functionality with usability. Elevate system quality through robust architecture decisions, comprehensive testing, and clear documentation that makes complex data systems maintainable and scalable as the team grows. What You'll Need to Have Done Built production backend systems with proven experience as a polyglot engineer, ideally with strong Kotlin skills and the ability to work effectively across multiple languages and tech stacks. Delivered scalable cloud infrastructure using AWS and infrastructure as code tools like Terraform, with hands on experience building distributed systems that handle real world data volumes. Developed data warehousing solutions with hands on experience building ETL pipelines, data modelling, and orchestration workflows using modern tools (e.g., dbt, Airflow, Spark), demonstrating the ability to transform raw data into reliable, performant analytics infrastructure that supports business decision making at scale. Collaborated effectively across teams to deliver features that customers actually use, with evidence of translating business requirements into technical solutions that drive measurable impact. Maintained high code quality standards with a commitment to clean, well documented, maintainable systems and the discipline to build infrastructure that scales with business growth. Demonstrated curiosity about emerging technologies, particularly around data processing, analytics platforms, and AI/ML tools that can enhance developer productivity and unlock new customer value. You're Unlikely To Thrive Here If You prefer working with well established data systems rather than building foundational analytics infrastructure from scratch in a rapidly evolving environment. You're more comfortable focusing on purely technical challenges than understanding the business context and customer impact of the data systems you're building. You're not excited by the complexity that comes with distributed data processing, enterprise scale systems, and the technical depth required for analytics platforms. Reading our Culture Document leaves you feeling neutral rather than energised, hx may not be the place where you'll do your best work. We're building something that asks for commitment and conviction, and we want you to feel excited by the opportunity to grow with us. Compensation At hx, we're committed to salary transparency. You'll always have clarity on pay early in the process - our Talent Partner will share details with you during initial conversations - and we're working towards publishing salary information for all roles globally. Because we're building at the intersection of technology/SaaS and insurance, our roles don't always map neatly onto traditional benchmarks. Our approach is to design compensation that's competitive in the market, fair across teams, and aligned with the impact our people make. Equity: We offer equity across all roles at hx, making it a significant component of total compensation. Your talent partner will be able to share more details about this. Benefits £5,000 training and conference budget for individual and group development. 25 days of holiday plus 8 bank holidays (33 days total). Company pension scheme via Penfold. Mental health support and therapy via Spectrum.life. Individual wellbeing allowance via Juno. Private healthcare insurance through AXA. Income protection and Life Insurance. Cycle to Work Scheme Additional Perks Top-spec equipment (laptop, screens, adjustable desks, etc.). Regular remote and in person hackathons, lunch and learns, socials, and game nights. Team breakfasts and lunches, snacks, drinks fridge, and a fun office at The Ministry. Exceptional opportunities for personal development and growth as we build something remarkable together. Interview Process Initial call with our Talent team to kick things off (30 minutes) Manager Interview (60 minutes) Technical Interview - Code Review & AI Pairing (120 minutes) Values Interview (60 minutes) We offer! Our Commitment to Diversity hxer's are at the centre of everything we build. We know that progress depends on diverse perspectives, and we are committed to creating an environment where everyone can thrive, grow, and make an impact. We recognise there is always more to do, and we take responsibility for shaping a workplace that is not only diverse but genuinely inclusive. Diversity is not just the right thing to do, it is key to solving the complex challenges we choose to take on. By welcoming people from all backgrounds and experiences, we strengthen our ability to question assumptions, push boundaries, and design solutions that endure. If you're energised by complexity and motivated to grow, we encourage you to apply and join our global team. Next Steps: If this opportunity resonates with you, we encourage you to apply or share it with your connections! Our dedicated talent team reviews all applications, and we promise to provide feedback regardless of the outcome. For more information about applying and to view other opportunities, you can visit our careers page. Please note that background checks will be conducted as part of the hiring process to ensure compliance with our governance policies. We handle all background checks sensitively and in full compliance with relevant regulations. All applicant data will be processed in accordance with data protection regulations and our privacy policy.

A dynamic tech startup in the United Kingdom is seeking an ambitious full-stack engineer to take ownership of projects and deliver creative software solutions. The ideal candidate will thrive in a high-ownership environment, tackling both frontend and backend development. Responsibilities include building automated systems and collaborating closely with teams. The position offers a competitive salary, unlimited PTO, and extensive parental leave. Join a culture that values innovation and creative problem-solving.

Hi I'm Abhik, Ashby's Co-Founder and VP of Engineering. We're looking for an ambitious full-stack engineer who is laser focused on solving customer problems and making the right long term investments to solve them not only today but in our future features and products. About the Role and How We Work Our engineering culture strives to recreate the environments where we did our best work as ICs - where we had the ownership and agency to impact our users with creative and innovative software. As a Product Engineer, you'll take ownership over a large portion of one of our products and own projects end to end (wearing hats traditionally worn by product and design). You'll research competitors, write product specs, make wireframes, and more. Key Responsibilities Designed and built automated interview scheduling to calculate possible times from a pool of interviewers and constraints, presenting these times to the candidate for selection via our responsive web app. Built a generalized declarative filter architecture that allows users to create complex filters for any record with a consistent UI and compile it to SQL in our backend. Specced, designed, and implemented a feature that allows users to complete signing offers entirely within Ashby. This project involved talking to customers, deciding technologies, building a prototype, and integrating the final implementation into additional features. Qualifications - What We're Looking For You're not afraid to tackle any part of a technology stack and do what's necessary to deliver a feature, whether writing frontend or choosing new infrastructure. You've tackled projects with a lot of product and technical ambiguity and thrive at the intersection of the two. You know how to strike the right balance between speed and quality, moving with urgency while maintaining high quality. You're ambitious and always looking to improve your skills, open to feedback, and thrive in a high ownership environment. You're an excellent collaborator and communicator, vetting decisions with stakeholders and working with other engineers to finish projects. You seek to create leverage in your work through automation, abstractions, and tools that improve efficiency. Qualifications - When You Might Not Be a Fit You need structured processes like sprint planning and well defined project management to move projects forward. You only want to do exciting work and prefer a team that focuses on high level ideas over hands on engineering. You get lost in details and prefer everything planned upfront. You haven't led or taken ownership of projects before and are used to working with technical leads. You want to mentor earlier career engineers in a team where most of the engineers are senior and mentorship opportunities are limited. You expect a tech lead, staff, or principal engineer to spend most of their time project managing or reviewing architecture rather than building. Interview Process Introduction call with Hiring Manager ( min, live). A technical screen where we pair in our actual codebase (1 h, live). Three non coding interviews that focus on product thinking, technical design, and infrastructure (3 h 15 min, live, can be split across multiple days). Depending on leadership bandwidth, an additional 30 minute recruiter screen may be added. First Three Months On day one, you'll set up your dev environment with a single script, push your first product change, and start shipping product changes. Over time, tasks will increase in scope from copy changes to impactful features. Your manager will conduct 30 , 60 , and 90 day reviews to give feedback and calibrate progress. Technology Stack TypeScript (frontend & backend), React, GraphQL API, Node.js, Postgres, Redis. Benefits Competitive salary and equity. 10 year exercise window for stock options. Unlimited PTO. Minimum 12 weeks fully paid parental leave (longer outside the US as per regional requirements). Generous equipment, software, and office furniture budget. $100/month education budget. Top tier health insurance for US employees and high quality supplemental insurance for employees outside the US, fully covered. EEO Statement Ashby provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.

A leading quantum computing firm in the UK is seeking a Senior Embedded Software Engineer. This role focuses on building embedded software for a quantum error correction stack, involving collaboration with engineering and science teams. Candidates should possess a relevant bachelor's degree and skills in communication and embedded systems. Expect a comprehensive benefits package, equity options, and a supportive learning environment. The position is based in Cambridge and offers a unique chance to contribute to cutting-edge technology.

Senior Full Stack Engineer Remote Consortia is currently seeking Senior Full-Stack Engineers to join a leader in innovative financial technology and play a crucial role in shaping the evolution of its delivery and products. As an integral part of our Technology function, you will be at the forefront of building scalable and reliable systems that deliver exceptional outcomes for our customers. In this pivotal role, you will be instrumental in developing cutting-edge solutions that redefine the landscape of financial technology. Your responsibilities will include owning the entire lifecycle of solutions within cross-functional teams, addressing complex challenges independently, and contributing to the evolution of our products. Key Responsibilities: Work seamlessly within cross-functional engineering teams, taking charge of the entire lifecycle of solutions. Demonstrate the ability to tackle challenges independently, taking full ownership of problems. Employ a strong product mindset to address ambiguous problems, identify root causes, and propose optimal solutions. Thrive in a fast-paced and evolving environment, showcasing adaptability and resilience specific to the unique complexities of the financial technology industry. Requirements: 5+ years of experience as a Full Stack Engineer, with a strong track record of delivering end-to-end solutions. Proficiency with TypeScript, AWS Serverless, AWS Lambdas, DynamoDB, and Node.js is crucial. Familiarity with CI/CD pipelines, immutable infrastructure, containers, and serverless architectures. Demonstrated ability to tackle complex problems and drive them to completion independently. Understanding of financial technology or payments is a plus. Nice to Have: Experience with Flutter. Knowledge of Svelte. If the idea of becoming a Senior Full Stack Engineer in a dynamic, forward-thinking environment interests you, don't hesitate! Consortia operates as a specialist recruitment agency, with consultants focused on global roles within UX, Product, Data, and Engineering markets. Kindly be aware that due to the high volume of applications, we may not be able to respond to each applicant individually. However, we will keep your details for future reference when a more suitable opportunity becomes available.

To accelerate AI adoption and maximize the efficiency of our internal processes across our engineering teams, we are seeking a Senior Machine Learning Engineer who combines deep expertise in LLMs, MLOps, and agentic AI with the credibility and communication skills to drive change across a multi-domain, distributed engineering organisation.# Senior Machine Learning Engineer (all genders welcome) - AI platform and developer tools force multipliers for our engineering teams. This role This is a hands-on technical role, but also suits someone able to earn trust through demonstrated expertise, bring people along through clear communication, and navigate the organisational complexity of rolling out new tools and practices across distributed teams with different tech stacks and priorities.Your first major project will be leading the technical implementation of an AI-assisted development initiative. Tasks may be evaluating and configuring our AI tool stack, building the retrieval and context systems that make those tools useful for our codebase, and instrumenting the metrics that prove the value.Develop and maintain reusable system prompts for common engineering tasks and complex technical domains.Run training sessions, document best practices, and build the internal knowledge base that raises the AI capability of the whole organization. Several years of leadership as Technical Lead or Engineering Manager in ML; 5+ years of ML engineering experience. Proven track record designing, building, and operating scalable production ML systems and software platforms with measurable business impact. Experience building platform and infrastructure tools for other engineering teams and defining development processes and workflows. Excellent Python skills, hands-on cloud experience (Azure/AWS/GCP), and strong MLOps practice (CI/CD for ML, versioning, monitoring, automation). Deep understanding of modern LLM architectures (transformers, attention) and extensive production experience with foundation and embedding models. Proficiency with agentic frameworks, multi-agent system design, and advanced prompt engineering. Excellent communication skills to convey complex technical topics clearly to diverse stakeholders. Strong influence through expertise, ability to lead without formal authority, and collaborative mindset in complex organizations. High autonomy and comfort with ambiguity, combined with a servant-leadership mindset focused on enabling other engineers. Resilient, pragmatic approach with evidence-based iteration in emerging technology areas. Development opportunities and career opportunities in a global, innovative and long-term oriented group of companies with family character Flexible working time, working time accounts and Home Office possible An open, informal corporate culture, where we celebrate success with social events Depending on the hiring location you may also benefit from local benefits

Your Role As a Senior Platform Engineer, you'll own the infrastructure, pipelines, and tooling that underpin how Walr's engineers build and ship software. Working within a small, focused platform team, you'll be hands on in everything from cloud infrastructure to CI/CD to observability - with a clear north star: developer experience. You'll measure your success in the same way we do: cycle time, build performance, and the confidence our engineers feel in the systems they rely on. This role is about leadership in execution, ownership of outcomes, and shaping your product's future. How You'll Make an Impact Technical Excellence Design, build, and maintain Walr's cloud infrastructure on Microsoft Azure using Infrastructure as Code (Bicep), ensuring environments are consistent, auditable, and scalable across multiple regions. Own our CI/CD pipelines (GitHub Actions) end to end, from authoring and optimizing pipelines to establishing release engineering standards that enable fast, reliable, low friction deployments. Implement and evolve our observability stack, building out logging, metrics, tracing, and alerting solutions that give engineers clear signal when things go wrong and confidence when they don't. Champion developer experience as a measurable outcome - track and improve key indicators such as build times, pipeline duration, and deployment frequency, treating the engineering team as your customer. Execution & Ownership Proactively identify and resolve infrastructure and platform issues before they become incidents, owning system reliability with an SRE mindset. Evaluate and introduce tooling - including AI native and agentic developer tools - that meaningfully accelerates how engineers work, with a bias for evidence over enthusiasm. Document platform capabilities and decisions clearly, reducing tribal knowledge and enabling engineering teams to self serve with confidence. Collaboration Partner closely with backend and frontend engineers across squads to understand their pain points and translate them into platform improvements. Informally mentor engineers on platform and DevSecOps practices, raising the waterline of infrastructure literacy across the engineering organization. Contribute to security and compliance posture (SOC 2, ISO 27001), working alongside the engineering leads to ensure platform practices meet our obligations without creating unnecessary friction. Skills That Set You Up For Success 5+ years of experience in platform, infrastructure, or DevOps engineering in a cloud native environment. Expertise in Microsoft Azure - including Azure Container Apps, Azure Functions, AKS, Service Bus, Cosmos DB, networking, and identity. Strong proficiency with Infrastructure as Code using Terraform or Bicep, with a focus on maintainability and reuse. Experience designing, building, and optimizing CI/CD pipelines, preferably with GitHub Actions. Deep understanding of containerization (Docker) and orchestration. Experience implementing observability solutions - structured logging, distributed tracing, metrics dashboards, and alerting (Datadog, incident.io, Sentry). A demonstrable commitment to developer experience, ideally with experience measuring and improving engineering throughput metrics. Excellent communication skills - equally effective writing a runbook, explaining a trade off to a product team, or raising a concern with leadership. Bonus Points For Microsoft certifications (Azure Administrator, DevOps Engineer Expert, or Solutions Architect). Experience with FinOps and cloud cost optimization practices. Background in SRE disciplines - SLOs, error budgets, and structured incident management. Hands on experience with AI native or agentic developer tooling, whether adopting, evaluating, or building it. Scripting proficiency in PowerShell, Bash, or Python for automation and tooling work.

Join the team behind Price Service-a mission-critical HTTP API powering pricing and promotions across all of Tesco's channels. From tills to websites and everything in between, our work touches the lives of over 28 million UK shoppers every week, with global reach on the horizon. We're building a robust, internet-facing API that runs both in stores and in the cloud, designed to support future innovation at scale. This means solving complex distributed systems challenges, ensuring high availability, and optimizing performance. Concepts like the CAP theorem aren't just theory here-they're part of our daily engineering conversations. Our stack includes Java, Vert.x, RxJava, Groovy, Couchbase, and Kafka, built using Terraform, running in Kubernetes on Azure utilising GitHub Actions pipelines. We follow Agile principles, adapting Kanban and other methodologies to fit the team's needs. Collaboration is at the heart of our culture-pair programming is common, and all code is reviewed via GitHub Design and implement end-to-end systems using your deep JVM and java ecosystem expertise. Translate product requirements into well-structured, maintainable code. Write test-driven features and follow the TDD and BDD cycle. Apply SOLID principles and cohesive design to build scalable software. Design, build, deploy and maintain the required infrastructure. Collaborate with product stakeholders to shape and refine features. Support production systems, resolve incidents, and conduct root cause analysis. Mentor and support fellow engineers, fostering a culture of continuous learning. Share knowledge across the wider engineering community. Prototype and evaluate new tools and technologies. Strong experience with Java 8+. Hands-on experience with cloud platforms (Azure, AWS, etc.). Proficiency with both SQL and NoSQL databases. Proven ability to scale systems effectively. Familiarity with Agile methodologies (Scrum, Kanban, Waterfall). Exposure to reactive programming paradigms. Bonus: Experience with eCommerce or search systems Our vision at Tesco is to become every customer's favourite way to shop, whether they are at home or out on the move. Our core purpose is 'Serving our customers, communities and planet a little better every day'. Serving means more than a transactional relationship with our customers. It means acting as a responsible and sustainable business for all stakeholders, for the communities we are part of and for the planet. We are proud to have an inclusive culture at Tesco where everyone truly feels able to be themselves. At Tesco, we not only celebrate diversity, but recognise the value and opportunity it brings. We're committed to creating a workplace where differences are valued, and make sure that all colleagues are given the same opportunities. We're proud to have been accredited Disability Confident Leader and we're committed to providing a fully inclusive and accessible recruitment process. For further information on the accessibility support we can offer, please click here. We're a big business and we can offer a range of diverse full-time & part-time working patterns across our many business areas, which means that we can find something that works for you. We work in a more blended pattern - combining office and remote working. Our offices will continue to be where we connect, collaborate and innovate. If you are applying internally, please speak to the Hiring Manager about how this can work for you - Everyone is welcome at Tesco.