Tooling engineer jobs in Newcastle Upon TyneCrear alertas

Software Developer – AI & Machine Learning Systems Location: Newcastle upon Tyne The opportunity Our client is a newly established technology and consulting venture backed by a global management consultancy and a leading alternative investment firm. Built in Newcastle city centre, the business is focused on designing and delivering high-performance software, AI solutions, and machine learning models for complex, data-driven environments within Financial Services and adjacent markets. This is an environment for engineers who want real ownership. You will work on demanding problems, contribute directly to AI-enabled products, and collaborate closely with users and stakeholders rather than building software in isolation. Pace, clarity of thinking, and technical quality matter. What you will be doing • Build and deliver production-grade software that underpins AI solutions and machine learning models., • Take ownership of technical products and projects, working directly with business users to understand real requirements rather than surface-level specifications., • Apply judgement to translate business problems into pragmatic, scalable technical designs., • Contribute to the evolution of existing systems, challenging assumptions and improving performance, reliability, and usability., • Work closely with other engineers, data specialists, and consultants in a highly collaborative setting., • Stay current with modern software, cloud, and AI-related technologies to ensure solutions remain relevant and robust. What makes a strong profile • Strong commercial experience in software development using C#/.NET or another object-oriented language such as Java or Python., • Solid experience working with SQL-based databases., • Hands-on experience with AWS or Azure in a production environment., • Interest in, or exposure to, AI systems, data-driven applications, or machine learning workflows., • Ability to take a problem from initial concept through to delivery., • Comfortable working directly with stakeholders and explaining technical decisions clearly., • Curious, proactive, and willing to take ownership rather than wait for instruction., • Financial Services experience is useful but not essential., • A minimum 2.1 degree in Computer Science or a closely related discipline from a leading UK university. Why join • Immediate responsibility and trust from day one., • Direct exposure to AI-enabled products and real-world machine learning use cases., • Work alongside high-calibre engineers and consultants in a demanding but supportive environment., • Projects often linked to live market activity and real economic drivers, not internal tooling., • Opportunity to deepen both technical capability and commercial understanding of financial markets. Role summary This role suits a strong software engineer who wants to work close to the problem, close to the user, and close to the impact. You will help build and evolve AI-driven software systems, take ownership of delivery, and develop your technical judgement in an environment that values clarity, pace, and accountability.

DevOps Engineer Location: Newcastle upon Tyne Salary: £50,000 – £80,000 The opportunity Our client is a newly formed technology and consulting venture backed by a global management consultancy and a leading alternative investment firm. Based in the heart of Newcastle city centre, the business is building high-performance engineering teams to deliver robust, scalable platforms for demanding Financial Services environments. This is a hands-on DevOps role for someone who wants ownership, influence, and technical depth. You will sit at the centre of software delivery, enabling engineering teams to move fast without compromising reliability, security, or quality. What you will be doing • Automate infrastructure and environments to support modern software delivery., • Own, manage, and evolve CI pipelines and associated tooling., • Build and maintain monitoring, alerting, and diagnostic capabilities., • Deliver automation that improves developer productivity and operational resilience., • Work closely with software engineers to embed DevOps practices into everyday delivery., • Challenge existing processes and tooling where they limit outcomes. What makes a strong profile • Strong scripting experience using PowerShell or similar languages., • Background in software development, or the ability to code, using C#, Java, or Python., • Hands-on experience with Infrastructure as Code tools such as Terraform or Ansible., • Practical experience with containerisation using Docker and orchestration with Kubernetes or Docker Swarm., • Experience implementing monitoring and observability using tools such as ELK or Grafana., • CI/CD experience, including tools such as TeamCity., • Experience working with Microsoft SQL Server., • Confident administering both Windows and Linux environments., • Clear communicator, comfortable working with engineers and stakeholders., • Financial Services experience is useful but not essential., • A minimum 2.1 degree in Computer Science or a closely related discipline from a leading UK university. Additional experience that is useful • Atlassian tooling including Bitbucket and JIRA., • Artifact management using tools such as Artifactory., • Deployment tooling such as Octopus Deploy., • Static analysis platforms such as SonarQube., • Enterprise scheduling tools such as Control-M., • Cloud platforms including Azure, AWS, or GCP., • Virtualisation and storage technologies such as VMware vSphere and SANs. Why join • Responsibility and trust from day one, with genuine ownership of core platforms., • Work on systems that support live, high-stakes workloads rather than internal tooling., • Collaborate with high-calibre engineers in a fast-paced, intellectually demanding environment., • Gain exposure to how financial markets and investment firms operate in practice. This role suits a DevOps Engineer who wants to be close to delivery, close to engineering teams, and close to impact. You will own the platforms that enable software to be built, tested, and deployed reliably, while developing strong technical judgement in a demanding environment.

Job Title: Subsea Tooling Manager Location: Aberdeen, Newcastle or North Yorkshire Role Purpose The Subsea Tooling Manager is responsible for the technical, commercial, and strategic management of a global subsea tooling portfolio. The role ensures tooling solutions are engineered, delivered, and cost-managed to meet project requirements safely, efficiently, and reliably, while driving performance, profitability, and market growth. Key Responsibilities Technical Leadership • Lead the design, development, selection, and integration of subsea tooling, including pipeline PIG launch and recovery systems and subsea connectors., • Provide technical leadership to tooling engineers, ensuring compliance with industry standards and best practices., • Ensure tooling designs are maintained, certified, and compliant with regulatory and quality requirements., • Support projects through technical reviews, feasibility assessments, and operational troubleshooting., • Drive continuous improvement in tooling performance, reliability, and innovation. Commercial & Strategic Management • Own the commercial strategy for subsea tooling, including budgeting, pricing, and cost control., • Support sales enquiries and prepare technical and commercial proposals in response to RFQs., • Manage vendor relationships, procurement strategies, and contract negotiations., • Optimise tooling inventory and lifecycle management to reduce cost and lead times., • Identify market trends, emerging technologies, and growth opportunities., • Develop and deliver short-term revenue improvement plans and a 3–5 year strategic roadmap, including funded new product development., • Support marketing activities, customer engagement, and industry exhibitions. Project, Operational, HSE & Quality • Coordinate with internal teams to ensure tooling is delivered to customer expectations., • Ensure timely resolution of equipment and operational issues., • Champion a strong HSE culture and ensure compliance with safety, legislative, and quality systems., • Participate in audits, incident investigations, and continuous improvement activities. Key Competencies • Strong technical expertise in subsea tooling and ROV-related systems., • Proven commercial and financial management capability., • Leadership, strategic planning, and execution skills., • Strong organisational, communication, and problem-solving abilities., • Commitment to safety, quality, and continuous improvement. Qualifications & Experience • Degree in Mechanical Engineering, Marine Engineering, Robotics, or related discipline., • Chartered Engineer status desirable., • 7+ years’ experience in subsea tooling, ROV operations, or subsea engineering., • Proven experience in design-and-build environments and technical team management., • Strong knowledge of offshore energy industry standards (API, ISO, IMCA). Work Environment • Office-based with regular travel to operational teams, customers, and exhibitions in the UK and overseas.

Multi-Agent LLM Systems Remote (MUST BE IN EUROPE) We’re partnering with a venture-backed startup led by a founder who has built and taken two technology companies to IPO, now assembling a world-class team to tackle one of the most impactful problems in applied AI. The company is developing a voice-enabled AI copilot used by professionals to eliminate the friction from documentation and decision-making, a product with genuine, real-world impact that’s already being used in production environments. They’re now looking for a Senior/Staff AI Engineer to own and evolve the core “brain” service behind this assistant, the system that powers reasoning, retrieval, and dialogue in real time. Interview Process: 1️⃣ Intro call where we talk about the role. 2️⃣ Technical discussion with the Head of AI. 3️⃣ Deep-dive session with a Backend Engineer and ML Engineer from the team. 4️⃣ 30-minute conversation with the Founder. Why This Is Worth Your Time • Real ownership: You’ll be the architect behind a core AI system, not a feature contributor., • Fast-moving environment, • Immediate impact: Your code will run in production and support real users from day one., • Technical depth: Multi-agent reasoning, voice-streaming, RAG optimisation and all in one system., • Flexible setup: Remote across the EU, with optional co-working in London or Barcelona. What you’ll do • Obsessive about latency, you think in milliseconds, optimise for concurrency, and understand the trade-offs between speed, cost, and model performance., • Design, implement, and productionise multi-agent LLM systems that reason, plan, and coordinate., • Develop FastAPI-based microservices optimised for low latency and high reliability., • Engineer and evaluate RAG pipelines: hybrid retrieval, re-ranking, grounding, and context validation., • Integrate real-time voice interfaces (STT/TTS, WebRTC, LiveKit) into intelligent conversational flows., • Instrument and evaluate system performance using observability and model-faithfulness metrics. What we’re looking for • Proven ability to build and ship agentic or multi-agent frameworks into production., • Expert Python, FastAPI, and asyncio developer., • Practical experience with LangChain, Autogen, or custom orchestration layers., • Startup mindset: ownership, speed, and pragmatism over perfection. Bonus points • Experience working with voice or streaming systems (STT/TTS, WebRTC, LiveKit)., • Exposure to evaluation tooling, LLM-as-judge setups, or agent benchmarking., • Background in healthtech, fintech, or other compliance-heavy sectors.

Join us in redefining the creator economy with AI Fanvue is the fastest-growing creator monetisation platform in the creator economy. We are the leading AI-powered creator-first platform, designed to empower creators worldwide to directly monetise their audience. We’re on a mission to redefine the creator economy by empowering creators to connect, share, and earn more efficiently. At Fanvue, we don’t see financial integrations as just plumbing - we see it as core to the product experience and a growth engine for creators. Every checkout flow, every payout experience, every fraud or financial tool we build is central to delivering trust, speed, and scale for our global community. This role has a fundamental impact on how the business will scale, managing millions of transactions in and out. 🎯 The Role As we continue to scale aggressively, we’re looking for a world-class Senior Software Engineer - FinTech Integrations to own and drive our checkout and payouts product stream, handling well over $100m+ per year. This is a hands-on role for someone who thrives on building complex systems, pushing technical boundaries, and shaping the financial backbone of a high-growth platform. As the platform continues to scale, this role is for someone who’s ambitious to scale their knowledge and experience accordingly, progressing significantly as a Principal IC or in Management. 🚀 What You’ll Do • Architecting Scalable Financial Systems: Leading the strategic design and implementation of robust financial integrations, aligning with the company’s vision of innovation and operational excellence., • Own the Checkout & Payout Experience: Build and deliver frictionless, secure, and high-converting payment and payout flows that scale globally., • Build & Evolve Financial Tooling: Design and implement fraud prevention systems, reconciliation tools, reporting dashboards, and internal admin experiences that directly influence how payments work across Fanvue., • Scale Integrations with Third Parties: Lead the adoption and optimisation of financial APIs, alternative payment methods (APMs), and payout providers, ensuring resilience, auditability, and user trust., • Developer Experience Leadership: Constantly improve the developer experience of the codebase, ensuring that financial systems are maintainable, testable, and scalable., • Cross-Functional Collaboration: Partner with product, design, compliance, legal, and operations to align financial systems with business priorities and regulatory requirements., • Quality & Velocity: Deliver high-quality, tested, and reliable systems at the speed of Fanvue’s growth. 👀 Who You Are Must-haves: • Technical Excellence: Expert knowledge in TypeScript, React, Node.js, and strong SQL or Postgres skills., • Payments Domain Expertise: You’ve built or scaled high-volume payment and payout systems (hundreds of thousands to millions of transactions, ideally across multiple geographies)., • System Thinker: You’re comfortable designing and operating in highly complex, interdependent systems with financial, compliance, and user experience constraints., • Hands-On Engineer: A senior IC who thrives on writing code, solving technical challenges, and pushing systems forward, delivering low-latency, fault-tolerant checkout flows with resilient retry, fallback, and routing logic., • Collaborator & Communicator: Skilled at managing stakeholders (internal and external), explaining trade-offs clearly, and working cross-functionally with transparency., • High-Quality at High-Speed: You move fast without compromising on quality, rigor, or security., • Marketplace/Platform Context (ideal): Prior experience in a marketplace, creator economy platform, or fintech environment where payments and payouts are core to growth and trust. 🌍 Why Join Fanvue? • Shape the financial backbone of the fastest-growing creator monetisation platform., • Competitive salary, equity, and benefits package, • Work in a stream that directly impacts trust, conversion, and revenue at a global scale., • Join a talented, mission-driven team dedicated to empowering creators worldwide., • A culture that values innovation, ownership, transparency, and speed., • Benefits: Unlimited holiday, hybrid/remote flexibility, budget for growth & wellbeing, flexible working hours, and recognition as one of The Sunday Times Best Places to Work 2025.

Senior Data Engineer (Quant & Alternative Data) Location: Abu Dhabi, UAE (relocation support provided) Compensation: Highly competitive, fully guaranteed The Role We are building a data engineering function to support quantitative research and production teams working with large-scale financial and alternative data. The work involves messy, evolving datasets, performance-sensitive pipelines, and open-ended technical problems. Much of the stack is built in-house and largely greenfield. What You’ll Do • Design and build scalable data pipelines, • Own datasets end-to-end, from ingestion and validation to downstream delivery, • Develop ingestion, transformation, and quality-control frameworks, • Build tooling to support research and experimentation, • Optimise data systems for correctness, reliability, and performance, • Collaborate closely with researchers, quants, and data scientists This Role Is a Good Fit If You • Strong Python and SQL skills, comfortable working close to raw data, • Experience building and operating modern data pipelines, • Exposure to research-, trading-, or decision-critical systems, • Independent thinker, comfortable with ambiguity, • Preference for hands-on technical ownership Ideal Background • Systematic funds, quantitative asset managers, HFTs, or trading firms, • FinTechs or financial data providers, • Smaller teams with broad ownership and responsibility, • Strong early-career profiles with clear technical depth Compensation & Benefits • Fully guaranteed, competitive compensation, • Education allowance for dependent children, • 30 working days of annual leave, plus public holidays, • Comprehensive healthcare for employee and family, • Business class relocation flights, • Joining and departure allowances The role is on-site in Abu Dhabi. Short-term remote work during peak summer months is supported. The working model prioritises sustainability and focused technical work. Send your CV and a brief summary to

I’m working with a fast-growing, product-led company in the cybersecurity space that’s looking to hire a Senior Full Stack Engineer to join their engineering team. About the role This is a senior, hands-on role where you’ll be building and owning features across the full stack. You’ll work closely with product and design, help solve complex technical problems, and play a key role in improving engineering standards and ways of working. What you’ll be doing • Building and maintaining backend and frontend features end to end, • Translating product and design requirements into scalable, high-quality solutions, • Collaborating closely with product managers, designers, and other engineers, • Tackling complex challenges around scalability, performance, and reliability, • 7+ years of experience as a full-stack engineer, • Experience in startups or high-growth scale-ups, • Experience building enterprise SaaS products (background in cybersecurity, threat intelligence, or security tooling is a strong plus), • Strong backend experience with TypeScript and NestJS, including REST and GraphQL APIs, • Experience designing and building complex, data-heavy UIs using React (Next.js and Chakra UI are a plus), • Hands-on experience with relational (MySQL) and NoSQL databases, • Strong debugging, troubleshooting, and performance optimisation skills, • Take ownership and enjoy driving work forward, • Care about quality, performance, and continuous improvement Tech you’ll work with • Backend: TypeScript, NestJS, Sequelize, REST APIs, GraphQL, MySQL, NoSQL, Kafka, • Frontend: React, Next.js, TypeScript, Chakra UI, React Query, GraphQL, • Experience with AWS and Kubernetes, • Familiarity with workflow tools like XState or Argo Workflows, • A solid understanding of infrastructure and networking fundamentals

Do you have 4+ years of hands-on ML experience and enjoy deploying models into production? Have you worked with GenAI / LLMs and modern ML tooling in real systems? Are you interested in crypto, blockchain, and applying ML to complex on-chain data? A Series B, high-growth SaaS platform delivering institutional-grade blockchain intelligence is hiring a Senior AI/ML Engineer. Often described as the Bloomberg for crypto, the platform helps investors discover opportunities, perform due diligence, and defend portfolios using AI-driven insights. This is a senior, hands-on role for someone strong across data science, applied ML, and cloud deployment, who wants to work in a lean team with real ownership. Why join? You’ll join a small, senior AI/ML team working on core product features such as: • Large-scale wallet labelling and behavioural analysis, • NFT price estimation using ML, • Trading and risk signals built on blockchain data The environment is fast-moving, product-led, and AI-first, with genuine room to shape how ML is applied across the platform. Requirements • 4-7+ years of professional experience in Data Science / ML roles, • Strong data science foundations (EDA, feature engineering, model evaluation, validation), • Hands-on experience with ML models in production, • Cloud & MLOps exposure (GCP preferred; AWS/Azure acceptable), • Experience with GenAI / LLMs (commercial or serious hands-on experimentation), • Strong Python and modern ML tooling (e.g. scikit-learn, XGBoost, TensorFlow or PyTorch), • Clear interest in crypto / blockchain (commercial experience a plus, curiosity required) Responsibilities • Build, train, and improve ML models on large-scale blockchain datasets, • Take models from exploration to production, working closely with engineering, • Apply GenAI / LLM approaches where they add real product value, • Maintain high DS/ML standards across experimentation, monitoring, and iteration, • Contribute to best practices in a lean, senior AI team Key details • Salary: up to ~£135k base + equity (4-year vest, 1-year cliff) + bonus, • Location: Fully remote (UK), • Stack: Python, GCP, ML frameworks, LLM APIs, • Visa: Cannot sponsor, • Team: Senior, small, highly technical If you’re a senior ML engineer with strong DS fundamentals, real deployment experience, and a genuine interest in crypto, this is a high-impact role with a lot of ownership. Interested? Please apply below.

Database Engineer (PostgreSQL & Python) - MUST BE BASED IN THE UK • Opportunity for a Database Engineer (Junior/Mid/Senior) to join a remote-first, UK-headquartered technology business, • Competitive salary between £45,000 - £70,000 + excellent benefits including remote working, autonomy, and the chance to work on an Educational AI platform WHO WE ARE: We are a remote-first technology organisation headquartered in the UK, with a distributed team across Europe. The business operates in a highly data-driven environment, working closely with Product and Data Science teams to support an Educational AI pipeline. Data reliability, performance, and scalability are central to the platform, and this role plays a key part in maintaining and evolving the underlying data infrastructure. You’ll be joining a collaborative, distributed engineering team, with the opportunity to take real ownership of database systems and tooling. OUR BENEFITS: • Remote-first working model, • Autonomous, trusted working environment, • Collaborative and inclusive engineering culture, • Opportunity to work closely with AI and Data Science teams, • Clear ownership and technical influence, • Long-term, permanent role, • And more… WHAT WILL YOU BE DOING? As a Database Engineer, you’ll sit at the intersection of database administration and software engineering. You’ll be responsible for building and maintaining high-availability PostgreSQL environments, ensuring performance, security, backups, replication, and recovery are robust and reliable. Alongside this, you’ll write production-quality Python to automate database operations, build bespoke tooling, and support the evolution of the wider data platform. You’ll contribute to database migrations and scaling initiatives, enable clean data access across services via APIs, and document standards and processes to support a distributed development team. This is a hands-on role with a strong focus on long-term platform health rather than short-term fixes. DATABASE ENGINEER – ESSENTIAL SKILLS • Expert-level PostgreSQL experience (complex queries, schema design, optimisation), • Strong Python skills, writing production-quality, testable code, • Experience with database performance tuning, backups, replication, and recovery, • Understanding of data integrity, security, and best practices, • Experience working in a collaborative, distributed engineering environment, • Strong problem-solving skills with the ability to communicate technical concepts clearly, • Full right to work in the UK (no sponsorship) TO BE CONSIDERED… Please either apply by clicking online or emailing me directly at . By applying to this role, you give express consent for us to process and submit (subject to required skills) your application to our client in conjunction with this vacancy only.

Senior Engineer (Frontend-First) Location: Remote (UK-based) Occasional meetings: South West (Bath/Bristol) & London Type: Full-time Salary: Circa £60,000 DOE + Company Options + Meal Discounts About Field Doctor Field Doctor creates award-winning, chef-made and dietitian-designed meals tailored to specific health needs, including Type 2 Diabetes, Cancer, IBS and general wellbeing. Since launching nationally in 2021, we’ve: • Delivered over 1 million meals, • Reached £5m+ ARR with strong institutional backing, • Supported thousands of customers on their health journeys, • Built a modern, headless D2C digital product We operate a subscription-first model with strong customer loyalty and a mission that genuinely improves lives. We favour pragmatic technology choices, off-the-shelf platforms, and increasingly leverage AI and low/no-code to move faster. About the Role This is a hands-on, frontend-first senior engineering role, reporting directly to the Director of Technology. This is a high-autonomy role in a small team, suited to engineers who are comfortable managing their own priorities and momentum. You’ll play a key role in scaling our Shopify Hydrogen headless storefront, improving performance, shipping features quickly, and supporting the launch of our mobile app. It’s an excellent opportunity for a strong engineer stepping into their first senior role, with real ownership and autonomy. You’ll work closely with design, operations and growth to build a faster, more reliable, and more scalable customer experience. What You’ll Do • Build and ship customer-facing features using React, TypeScript and Shopify Hydrogen, • Implement high-quality, accessible, responsive UI from design, • Maintain and evolve our component library and design system, • Support mobile parity within our WebView app (launching 2026), • Leverage low-code / no-code tools where appropriate, • Embrace modern LLM and AI tooling as part of day-to-day delivery, • Improve code quality, structure, documentation and testing, • Support experimentation, analytics, A/B testing and performance optimisation, • Diagnose and resolve issues across browsers, devices and edge cases About You • Strong experience with React and modern TypeScript/JavaScript, • Able to deliver polished, production-ready UI, • Comfortable improving performance and debugging complex issues, • Pragmatic, curious, and ready to take on more ownership, • Good design instinct and attention to detail, • Clear communicator and collaborative team member, • Comfortable working with analytics and experimentation You’ll Thrive Here If… • You’re the kind of engineer who sees an ambiguous problem and feels energised, not blocked, by the need to define the solution yourself, • You’re comfortable working in a fast-paced startup environment, • You like taking end-to-end ownership of problems, not just writing code handed to you, • You’re pragmatic and outcome-focused, favouring progress over perfection, • You’re curious about using AI, low-code, and modern tooling to move faster, • You care about building products that have real-world impact on people’s health What We Offer • Circa £60,000 salary, • Company options scheme, • Remote-first working within the UK, • Direct collaboration with senior leadership, • A small, mission-driven team, • Discounts on our meals, • The chance to shape a health-focused digital product with real impact

Senior Data Engineer | Remote (UK or Europe) A leading prop trading firm is hiring a Senior Data Engineer to take ownership of their trading and market data infrastructure. Operating globally with connectivity to dozens of exchanges, the firm executes millions of trades daily with data playing a mission-critical role in every aspect of the business. This is a high-impact, high-autonomy role in a lean engineering environment. You’ll design and maintain real-time and historical data systems, power internal analytics tooling, and ensure data quality, reliability, and observability across production systems. Ideal for someone who thrives in fast-paced, trading-led environments where precision and performance are non-negotiable. Key Responsibilities • Build and maintain low-latency distributed data pipelines, • Develop and run real-time time-series data collectors, • Automate monitoring and data quality checks, • Create tools and APIs for data access, • Collaborate with traders and developers on data needs, • Ensure 24/7 pipeline reliability What We’re Looking For • Strong Python and SQL, • Experience with trading/market data in production, • Proven work on real-time, high-volume pipelines, • Familiar with distributed SQL/NoSQL Bonus Skills • Clickhouse and S3/data lakes, • C++ on Linux, • Terraform or similar IaC, • Network protocols and exchange data What’s on Offer • Fully remote role (UK or Europe only), • Flat structure, strong engineering culture, • Competitive base + performance-linked bonus, • Flexible working hours, • Biannual off-sites to meet the global team in person

Machine Learning Engineer: Xcede has started working with a leading AI solutions company. Wanting to turn advanced machine learning into dependable production systems, you will shape technical delivery and drive real-world impact for clients. This role involves designing and delivering robust machine-learning systems from concept to live operation, develop shared approaches that speed up future delivery, work closely with multidisciplinary teams to address complex client needs, take ownership of technical definition and system design, establish best practices for scalable deployment, and provide clear technical guidance to stakeholders across a range of audiences. Requirements: • You have end-to-end experience with machine-learning workflows, including taking trained models and integrating them into live systems using modern ML tooling, • You are highly proficient in Python and apply sound engineering principles when designing and building software, • You have practical experience designing and operating systems within large-scale cloud environments, with an understanding of secure and resilient architecture., • You have experience packaging applications for repeatable deployment and operating them reliably across scalable runtime environment, • You have a solid grasp of the mathematical and conceptual foundations that underpin modern machine-learning methods, • You communicate clearly and effectively, supporting technical teams while providing trusted guidance to a wide range of stakeholders, • You are comfortable operating in dynamic settings and take ownership of defining, solving, and delivering end-to-end solutions If you are interested in this or other ML Engineer positions, please contact Gilad Sabari @ | 02074226861

Location: Remote (Global) Work Model: Distributed team, flexible hours, results-oriented We are hiring a Senior DevOps & Platform Engineer to join a remote-first engineering organization responsible for operating and evolving a high-scale Azure platform used by enterprise customers. This role is suited for engineers who are comfortable owning complex systems, working through ambiguity, and driving issues to resolution. You will be working on production infrastructure that matters — not proofs of concept or greenfield experiments detached from reality. Responsibilities * Design, build, and operate CI/CD pipelines for .NET Framework 4.6 applications using Azure DevOps * Architect, implement, and troubleshoot complex Azure networking environments, including VNETs, NSGs, private endpoints, routing, firewalls, and hybrid connectivity * Develop and maintain infrastructure-as-code using Terraform and PowerShell * Partner closely with application engineering, QA, and SRE to improve reliability, security, and operational maturity * Lead improvements to deployment workflows, observability, and platform resiliency in production environments * Diagnose and resolve issues end-to-end, including legacy system constraints and cross-team dependencies Qualifications * Deep expertise in Azure networking, including VNET peering, DNS, private connectivity, routing, and WAFs * Strong, hands-on experience supporting and troubleshooting .NET Framework 4.6 applications in production * Proven experience building and maintaining Azure DevOps pipelines at scale * Advanced PowerShell scripting and infrastructure provisioning with Terraform * Familiarity with monitoring and observability tooling such as Azure Monitor, Application Insights, or Log Analytics is a plus What to Expect * A distributed, senior-leaning team that values ownership and follow-through * A results-oriented culture that prioritizes outcomes over activity * Competitive compensation aligned with experience and impact * Meaningful, visible work on enterprise platforms with real operational complexity Next Steps If this role aligns with your experience and how you prefer to work, apply via LinkedIn or reach out directly. We are moving quickly and are selective by design.

Red Hat OpenShift Engineer Rate: £675/day Contract: Inside IR35 Location: Remote, UK-based only Sector: NHS or Central Government is ESSENTIAL Overview We are supporting a programme in the NHS that is seeking an experienced Red Hat OpenShift Engineer to support the build, operation, and optimisation of container platforms underpinning critical digital and data services. The role focuses on designing and running secure, resilient OpenShift platforms, working closely with platform, cloud, security, and application teams. Key Responsibilities • Design, build, and operate Red Hat OpenShift clusters in production environments, • Support OpenShift deployments across cloud and hybrid infrastructure, • Implement and manage CI/CD pipelines for containerised workloads, • Ensure platform security, resilience, and performance in line with public sector standards, • Work closely with security architects to embed security-by-design and compliance controls, • Support application teams with containerisation, deployment, and troubleshooting, • Contribute to platform documentation, operational runbooks, and best practices Required Experience • Strong hands-on experience as an OpenShift Engineer or Platform Engineer, • Proven experience building and operating Red Hat OpenShift in enterprise environments, • Solid Kubernetes expertise, including networking, storage, and ingress, • Experience running OpenShift on cloud platforms (AWS, Azure, or GCP) and on-prem, • Strong Linux and Red Hat ecosystem experience, • Experience working within the NHS or UK central government is essential, • Understanding of public sector security and compliance requirements (for example NCSC guidance, DSPT) Nice to Have • Experience supporting data platforms, analytics, or AI/ML workloads on OpenShift, • Exposure to GitOps tooling (for example Argo CD) and Infrastructure as Code, • Experience working in highly regulated or mission-critical environments, • Strong stakeholder and communication skills

Senior Cloud DevOps Engineer - Fully Remote (UK only) - Up to 85k High impact role. Modern AWS environment. Real engineering influence. Our global tech client builds advanced cloud and data platforms for large scale, distributed environments. This group is investing heavily in AWS, automation and data driven solutions, and they are hiring a Senior Cloud DevOps Engineer who wants ownership, autonomy and the chance to shape future cloud standards. This is an ideal opportunity for someone who enjoys solving complex engineering challenges and wants to work with a wide range of cloud, container and data technologies. Your core responsibilities Cloud Engineering Design, build and maintain AWS environments and ensure they meet industry security standards. DevOps Enablement Promote DevOps culture, automation thinking and strong engineering practice across the team. Security and Architecture Reviews Lead technical assessments, risk reviews and architectural improvements for data and cloud workloads. Infrastructure as Code Create reusable templates and patterns using Terraform and CloudFormation to support consistent cloud deployments. Cloud Operations and Administration Manage identity and access, support cloud integrations, analyse performance and recommend improvements to keep systems robust and resilient. Skills and experience required • Degree in computer science, engineering or a similar technical field., • Five or more years experience in Cloud DevOps, Cloud Architecture or Platform Engineering., • Strong understanding of AWS across compute, networking, identity and databases., • Solid experience with Terraform and CloudFormation., • Strong Python skills., • Confident with SQL, MySQL, Postgres and S3 based storage., • Comfortable with Linux and shell scripting., • Experience with Git, GitHub and CI or CD pipelines., • Strong analytical and problem solving mindset with the ability to collaborate in a fast paced environment., • Strong grasp of modern DevOps, cloud tooling and configuration management. Nice to have • AWS certifications., • Working knowledge of SOC 2, GDPR or related compliance requirements., • Networking certifications such as CCNA or CCNP., • Experience with Kafka, MQTT or other streaming technologies., • Hands on experience with serverless, ECS or EKS., • Agile or Scrum exposure., • Strong communication skills., • Interest in Data Engineering, AI or ML. Why this role stands out • Work with a mature AWS ecosystem that includes EKS, Lambdas, MWAA, Confluent and Timescale., • Help drive the cloud vision and influence standards, guardrails and best practice., • Join a collaborative team of software, systems and network engineers., • Build secure, scalable data and analytics platforms used across the organisation., • Make an impact in an environment that values engineering quality, automation and innovation. Why candidates choose this role • You gain ownership over cloud direction and standards., • You join a team that encourages learning, experimentation and the use of new technologies., • You work in an environment that values both independence and collaboration., • You build platforms that directly support real time analytics and high value data solutions.

Senior Ruby on Rails Engineer - Fully Remote - 12 Month Contract - Outside IR35 We’re looking for a creative, driven engineer to help design, build, and maintain reliable continuous integration and deployment pipelines across multiple platforms, including Web, iOS, Android, connected TV, and more. As part of the Build & Release Engineering group, you’ll play a key role in enabling product teams to deliver new features to a large, engaged audience. You’ll tackle challenging technical problems in a fast-moving, collaborative environment where quality and craftsmanship matter. This role is well suited for an experienced engineer who wants to grow deeper expertise in modern tooling, automation, and delivery practices. What you’ll be doing You’ll work closely with other engineers to solve complex build and release challenges in a highly collaborative setting. The team operates in a modern development ecosystem, leveraging technologies such as Ruby on Rails, GitHub Actions, Ansible, and a range of supporting tools and languages. From initial design through production rollout, you’ll own features end-to-end by creating and maintaining build pipelines, developing microservices, and integrating with existing platforms and services including AWS, JIRA, and GitHub. What you’ll bring • 4+ years of professional experience developing software with Ruby, • At least 1 year of hands-on experience with Ruby on Rails, • 1+ year working directly with GitHub Actions or a similar CI/CD solution, • Strong expertise in writing, testing, and debugging Ruby scripts, • Advanced proficiency with bash scripting, • Experience building and working with Docker containers, • Solid background managing and supporting Linux environments, • Experience working with AWS services Nice to have • Experience managing and configuring macOS systems, • Familiarity with macOS virtualization, • Hands-on experience with Ansible, • Experience with Apple and/or Android application signing, • Experience deploying Apple and/or Android applications, • Familiarity with Gradle, • Previous experience supporting and enabling other developers

Description Complexio is Foundational AI. This works to automate business activities by ingesting whole company data – both structured and unstructured – and making sense of it. Using proprietary models and algorithms Complexio forms a deep understanding of how humans are interacting and using it. Automation can then replicate and improve these actions independently. Complexio is a joint venture between Hafnia, in partnership with Marfin Management, C Transport Maritime, Trans Sea Transport and BW Epic Kosan and Símbolo We are looking for a Senior Engineer to establish and lead our new Developer Experience team. This team’s mission is to improve engineering productivity, consistency, and satisfaction by building and maintaining the systems, processes, and tooling that underpin our Software Development Lifecycle (SDLC). You will shape how our engineers build, test, release, and monitor software, ensuring frictionless workflows while keeping ownership of business logic, test quality, and development practices firmly with the product engineering teams. This is a hands-on role with significant influence: you will design systems, implement tooling, measure productivity gaps, and drive adoption of better practices across the engineering organisation. Requirements • CI/CD Infrastructure & Tooling, • Own and operate CI/CD systems (GitHub Actions, runners, caching, artifact storage)., • Maintain stability, scalability, and cost-effectiveness of pipelines., • Build and maintain systems for our monorepo., • Ensure CI/CD observability, with metrics flowing into Datadog/Slack., • Pipeline Instrumentation & Optimisation, • Analyse pipelines for inefficiencies (e.g., flaky tests, redundant steps, lack of caching)., • Recommend and implement optimisations (parallelisation, test selection, caching strategies)., • Define benchmarks and KPIs (e.g., build times, flakiness %, cost per run)., • Measure and report on productivity gaps (e.g., time lost to flaky tests, slow builds, manual release steps)., • Onboarding & Documentation, • Maintain up-to-date documentation on SDLC processes, CI/CD, release flows, and GitHub usage., • Provide templates, playbooks, and starter kits., • Automate repetitive onboarding processes., • GitHub & SDLC Guardrails, • Own GitHub governance (branch protections, repo standards, integrations)., • Implement base SDLC guardrails (PR templates, code owners, security scans)., • Ensure compliance requirements are integrated into pipelines., • Monitoring & Incident Flow, • Set up alerts for pipeline health regressions., • Provide first-level triage to distinguish infra vs. test vs. dependency issues., • Escalate to the correct engineering team and ensure test ownership is tracked., • Release Management Support, • Build tooling for release notes, changelogs, packaging, and deployment., • Standardise release processes across services., • Enable customer-facing packaging and deployments, without owning release decisions., • Change Management & Adoption, • Identify friction in developer workflows through metrics, surveys, and incident data., • Drive adoption of DevEx improvements by partnering with engineering teams, running enablement sessions, and monitoring uptake., • Define test strategy, coverage, or quality gates (owned by engineering teams)., • Own microservice/domain documentation., • Proven experience with CI/CD platforms (e.g., GitHub Actions, GitLab CI, CircleCI)., • Strong background in SDLC practices and developer productivity tooling., • Hands-on experience with infrastructure automation (e.g., Docker, Kubernetes, IaC with Terraform, Ansible or Pulumi)., • Familiarity with observability & monitoring (Datadog, Prometheus, or similar)., • Experience managing or improving monorepo build systems., • Strong ability to measure developer productivity gaps and define KPIs., • Experience in driving adoption of change in engineering organisations., • Experience in release engineering or building developer-facing platforms., • Background in Software Engineering, SRE or infrastructure engineering, with a strong developer tooling focus., • Knowledge of compliance-driven SDLC requirements (e.g., ISO 27001, SOC2)., • Join a pioneering joint venture at the intersection of AI and industry transformation., • Work with a diverse and collaborative team of experts from various disciplines., • Opportunity for professional growth and continuous learning in a dynamic field.

We are looking for an experienced Senior Machine Learning Engineer to lead the design and production integration of ML into an established live trading system and drive its next phase of development. Building on our early ML research and prototypes, you will design, build, deploy, and operate production ML components that integrate directly with a real-time execution engine – improving decision-making and execution quality with measurable financial impact. This is an excellent opportunity for someone who enjoys autonomy, technical responsibility, and building production-grade ML systems where reliability, latency, and real-world feedback loops matter. What You’ll Do • Lead the design and production integration of ML components into a live, Python-based trading system, • Take early ML research/prototypes and turn them into reliable production models and services, • Build robust training and evaluation pipelines with safeguards against leakage, non-stationarity, and drift, • Develop real-time inference components with clear fail-safes, fallbacks, and graceful degradation, • Create monitoring and observability for production ML (model performance, drift detection, alerts, rollback plans), • Work with high-frequency market data: missing data, late arrivals, outliers, regime shifts, and noisy signals, • Collaborate directly with the Head Trader to translate strategy goals into ML objectives and measurable outcomes, • Partner closely with software engineers on integration, deployment, performance, and operational reliability, • Troubleshoot and resolve production issues quickly during key market hours when needed Essential Skills • Strong Python developer (min. 5+ years professional Python experience), • Demonstrable experience taking ML models from prototype to production (deployment, monitoring, and ongoing operation), • Strong understanding of validation pitfalls (e.g., leakage), time-series/non-stationary dynamics, and model drift, • Experience building end-to-end ML workflows: data ingestion/cleaning, feature engineering, training pipelines, model serving/inference, • Ability to design for reliability: monitoring, alerting, safe deployment, rollback strategies, and incident response, • Comfortable owning and improving an evolving codebase: refactors, architecture improvements, reproducibility, and clean tests, • Strong engineering discipline: correctness, edge cases, careful time-handling, attention to detail, • Comfortable working independently, making architectural decisions, and maintaining high code quality, • UK-based and available for support during core market hours when needed Desirable Skills • Experience with real-time/low-latency systems (streaming data, telemetry, market data, etc.), • Familiarity with production ML monitoring/observability practices and tooling, • Experience with cloud deployment environments (VMs/containers, monitoring, CI/CD), • Background in financial markets, algorithmic trading, or market microstructure (helpful, not required), • Experience with distributed systems, message queues, or event-driven architectures What We Offer • Competitive salary – negotiable based on experience, • Mostly remote, with some in-office collaboration days for coordination and planning, • Yearly bonus based on company performance, • The chance to take significant ownership of production Machine Learning in a live system, • Long-term role with the opportunity to influence the Machine Learning roadmap and system design, • A lean environment with minimal bureaucracy and direct impact

Aveni is redefining how financial institutions use AI. We build real, production-ready agentic systems that reshape how banks, advisers and financial services firms operate, replacing fragmented processes with intelligent, end-to-end workflows. We have been recognised as Fintech of the Year for two consecutive years and awarded Best Specialist Technology Service at the Professional Adviser Awards 2025. Backed by leading investors including Puma Private Equity, and commercially supported by Lloyds Banking Group and Nationwide Building Society, we previously completed one of Scotland’s largest Series A rounds. Since then, we’ve continued to grow rapidly as adoption of AI in financial services accelerates, and we’re now scaling our engineering organisation to meet that demand. Our engineering team includes experienced software engineers and PhD-level AI specialists, with strong ties to the University of Edinburgh, giving you access to exceptional expertise and opportunities for continuous learning as part of the day-to-day work. The Role As a Software Engineer at Aveni, you’ll be responsible for building and scaling the products that sit on top of FinLLM (the UK's first LLM for the Financial Services industry) and other LLMs, enabling financial institutions to adopt AI safely and effectively. You won’t be expected to build or train the LLMs themselves, instead you’ll be engineering the platforms, services, user interfaces and integrations that bring those models to life in the hands of advisers, analysts and banking teams. Your work will focus on: • Designing and implementing robust event-driven microservices and APIs, • Building scalable, cloud-native systems on AWS, • Developing modern, responsive React front-ends, • Integrating LLM-powered capabilities into real-world workflows, • Collaborating closely with product and AI specialists to turn ideas into reliable, customer-ready features What you’ll be working with You should be comfortable with most of our core technologies: • Node.js and TypeScript, • React and modern front-end tooling, • AWS (e.g., Lambda, ECS/Fargate, API Gateway, SQS/SNS, DynamoDB, RDS), • NestJS or equivalent back-end frameworks, • Microservices and event-driven architectures We also actively embrace AI coding assistants (such as Claude Code) to speed up development, improve code quality and reduce repetitive work — and we encourage engineers to use these tools effectively. What we’re looking for: • Experience building production systems using Node.js / TypeScript, • Hands-on experience developing UIs with React, • Solid understanding of cloud-native engineering on AWS, • Experience with microservices, messaging patterns and distributed systems, • A commitment to clean code, testing, observability and operational excellence, • A proactive and motivated mindset — someone who wants to build, ship and iterate quickly, • Interest in AI-powered products and a drive to learn Join Us in Making a Difference At Aveni, we believe that diversity drives innovation. We're committed to building a team that reflects the diverse communities we serve and creating an inclusive workplace where everyone feels valued and empowered to contribute their best work. If you're passionate about leveraging technology to drive positive change and want to be part of a team that's shaping the future of financial services, we'd love to hear from you. We know that some people are likely to only apply where they meet 100% of requirements, but we’d like to hear from you anyway. Apply now to join us on our mission to transform the financial services industry through AI! What we offer: • A collaborative and innovative work environment, • Career growth opportunities towards Technical Lead and beyond, • Exposure to cutting-edge AI-first engineering practices, • 34 days holiday plus your birthday off, • Share options, • Remote and flexible working, • Life insurance, • Income protection, • Private health care, • Eyecare, • On-going career development and training, • Freebies and discounts, • Emotional wellbeing (Employee assistance programme provides access to 24/7 employee counseling and emotional support), • Cycle to work scheme, • Pension scheme (employer contribution matched up to 5%) We’re a remote-first company across the UK, with regular off-sites and in-person gatherings that are always fun, motivating and team-focused. If you want to build high-impact technology at the frontier of applied AI and help bring new products and intelligent agents to market, you’ll thrive here.

Machine Learning Engineer Fully Remote - UK based Up to £90,000 + Benefits About the Role We are working with a fully remote gaming and entertainment business that is scaling its data and machine-learning capabilities. With strong backing for data-driven decision-making, they are now looking for a Machine Learning Engineer to help operationalise, maintain, and optimise their ML systems across the organisation. This position is ideal for someone who is strong technically, resilient, enjoys problem-solving in ambiguous environments, and wants to work closely with both Data Scientists and Engineers. Key Responsibilities • Deploy, productionise, and monitor machine-learning models across the business., • Maintain and improve ML infrastructure to ensure high reliability, scalability, and runtime performance., • Collaborate with data scientists to ensure smooth model handover from prototype to production., • Work alongside data engineers, supporting but not owning data-engineering pipelines., • Build tooling, automation, and monitoring systems to support long-term ML lifecycle management., • Ensuring live models perform consistently in a high-volume environment., • Streamlining the deployment process and improving ML observability., • Supporting automated decision systems across game-economy and player-behaviour use cases. What We’re Looking For • Experience deploying, monitoring, and maintaining ML systems in production environments., • Strong understanding of cloud platforms (GCP preferred) and containerisation/orchestration tools., • Solid coding ability, with experience building reliable and scalable infrastructure., • Excellent problem-solving skills and comfort operating within a fast-moving environment., • No strict requirements on years of experience or academic background If this looks of interest, please apply below.

Developer Advocate Location: London About the Role We’re looking for a Developer Advocate / Developer Content Engineer who can show developers what’s possible with Artemis. Someone who can build examples, explain real workflows, and create content that resonates because it reflects how developers actually work. Your job is to help developers understand how our offerings fit into their everyday flow and why it makes their work better — in your own technical, authentic voice. You’ll collaborate closely with Engineering and Product, experiment with new capabilities, create demos and walkthroughs, and engage publicly across developer communities If you’re a builder who loves teaching other developers through content, video, examples, and honest technical conversation, we’d love to hear from you. Key Responsibilities • Build engaging, production-ready demos that showcase real-world developer workflows and product capabilities., • Produce multi-format content — technical blog posts, tutorials, videos, and social media snippets — that resonates with technical audiences., • Record and edit videos (feature walkthroughs, screencasts, narrated demos) optimized for developer channels like YouTube, LinkedIn, and Twitter., • Collaborate with engineering to deeply understand features and ensure content is accurate and developer-ready., • Work with marketing to align content with launch timelines, messaging, and campaigns. Technical Skills & Experience We’re looking for someone who can combine developer credibility with content creation expertise: • Strong software development background, ideally in JavaScript/TypeScript and/or Python., • Proven experience using and extending Visual Studio Code (extensions, integrations, workflows)., • Familiarity with AI developer tools, LLM APIs, and agent frameworks (e.g., OpenAI, LangChain, Hugging Face)., • Ability to build and explain end-to-end demos using modern dev tooling and workflows (git, CI/CD, cloud platforms)., • Understanding of developer ecosystems and how to engage technical audiences through content., • Video production skills — screen recording, editing, and publishing for professional-quality results. Portfolio Requirement Applicants should have a portfolio of previously created developer content that could include: • Recorded video demos or walkthroughs., • Technical blog posts or tutorials., • Public GitHub projects or repositories tied to content pieces., • Conference talks or webinars. (not required but great to have) Deliverables • 2–3 polished demos with write-ups and recordings., • 3–4 developer-focused blog posts or tutorials highlighting use cases, integrations, and tips., • 2–3 short launch videos (2–5 minutes each)., • Updates or additions to developer documentation for launch readiness.

Hello, we're True9. 👋 An independent technology consultancy based in beautiful Saltaire, West Yorkshire. 💻 Remote-first 💰 Up to £60,000 Join our small, close-knit and talented team on our mission to help people and businesses thrive through technology. If you love untangling hard problems, improving legacy systems, and shipping clean, tested code, you’ll fit right in. 🚀 Your role as a Senior PHP Software Engineer at True9: • Lead the back-end - write clean, maintainable, and scalable code using PHP and frameworks like Symfony across a variety of projects., • Drive technical direction - work with cross-functional teams to define technical strategy and architecture, helping shape the future of our clients' products., • Mentor and empower - provide guidance and mentorship to junior developers, fostering a culture of technical excellence and continuous growth., • Solve complex challenges - tackle performance bottlenecks, architect new features, and ensure the reliability of our clients' platforms at scale., • Collaborate effectively - work side-by-side with delivery managers, test engineers, designers, and front-end teams in a fast-paced Agile environment. 🙌 You’ll thrive in this role if you have: • Strong working experience in PHP, OOP, design patterns and principles, including SOLID, • Strong understanding of automated testing practices, • Expertise in performant MySQL and relational database design, • Hands-on experience with API design and development, • Comfortable using modern tooling, including Docker, Git, PHPStan, PHPUnit and CI/CD, • Experience in Symfony, • Familiarity with cloud services, particularly AWS, • Experience in agile environments and contributing to team collaboration, • A proactive, solutions-oriented mindset and excellent communication skills 🛠️ The tech stack you’ll be working with: • Backend: PHP 7/8, Symfony 5/6/7, MySQL/MariaDB, Redis, • Frontend: Angular, Twig, • Cloud & Infrastructure: AWS, Docker, Sentry, • CI/CD & Testing: Git, GitHub Actions, PHPUnit, PHPStan 💰 Perks of the job: • Up to £60,000 per annum with annual performance-based reviews., • Flexible working - structure your day around what works for you., • Remote-first culture (UK-based), with monthly in-person team days., • 34 days off (including Bank Holidays), plus your birthday off every year., • Home office setup - we’ll provide the right equipment to get you started., • Beautiful collaborative office space - with places to eat, shop and relax., • £500 personal development budget each year for training, events, or certifications., • Summer and Winter team days - recent outings include spa days, archery, clay pigeon shooting, pottery and off-roading., • A vibrant and innovative work culture where your ideas genuinely matter. 🌳 Our location: We have a beautiful office space in Salts Mill and love getting together to collaborate in person. Located on the main train line accessible from Leeds and Bradford, Saltaire is an easy commute from across Yorkshire, Manchester, London and beyond. Salts Mill has four art galleries, three places to eat & drink and lots of independent shops. Outside the office, there's the Leeds and Liverpool Canal, lots of open green spaces, and the village itself. We champion flexibility and encourage the team to use the office whenever it suits their needs, whether for collaboration days, client workshops, or just a change of scenery. Whilst this is a remote-first role, we expect you to travel to the office at least once a month, with travel costs covered by us. If you have any questions before you apply, please reach out. 👉 What to expect next: We'll review your application and will respond within five days (even if it isn't the news you'd hoped for). If successful, you'll be invited to a quick 30-minute video call with one of the team to make sure the role is right for you. From there, to help us assess your capabilities, you'll be asked to complete a small technical task in your own time. Followed, finally, by a more in-depth technical interview. 📥 Not the right role? We’re always keen to hear from bright, ambitious people. If this isn't the right role for you, don’t let that stop you from reaching out. Email so we can keep your details on file and reach out about future opportunities.

About Pronetx Pronetx is a cutting-edge consulting firm that specializes in transformative customer experience (CX) solutions powered by AWS. With decades of experience deploying sophisticated CX solutions for industry leaders like Capital One, Social Security Administration, and Hilton, we're known for pushing the boundaries of what's possible in customer experience technology. Job Overview We are seeking a skilled Web Automation Engineer to design, develop, and maintain a robust web automation framework for API and functional testing. The ideal candidate will have hands-on experience in building scalable test frameworks using Playwright and Python, with a strong emphasis on reliability, maintainability, and rapid feedback for CI/CD pipelines. Key Responsibilities • Design, implement, and maintain a scalable web automation framework for API and UI/functional testing, • Develop test strategies, test plans, and automation suites using Playwright (Python) for web applications, • Create reusable, modular page objects and components to maximize test reuse, • Implement API testing strategies (REST/GraphQL) integrated with UI tests where appropriate, • Write clear, maintainable automated tests with robust assertions and meaningful reporting, • Integrate tests with CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, etc.), • Configure test data management, environment handling, and test environment provisioning, • Implement parallel test execution, flaky test handling, retry strategies, and test isolation, • Monitor test results, analyze failures, and provide timely root-cause analysis, • Collaborate with developers, QA, and product teams to ensure quality goals are met, • Document framework usage, coding standards, and onboarding guides, • Stay current with automation tooling trends and propose improvements Required Qualifications • 3+ years of hands-on experience in web automation testing, • Strong proficiency with Playwright (Python) for end-to-end web testing, • Demonstrated experience building automation frameworks from the ground up, • Proficient in Python, with good knowledge of software design patterns, • Experience with API testing (REST/GraphQL) and integrating API tests with UI tests, • Familiarity with test frameworks (pytest, unittest), • Solid understanding of CI/CD integration and test reporting, • Experience with version control (Git) and collaborative workflows, • Strong debugging, troubleshooting, and problem-solving skills, • Excellent written and verbal communication Nice-to-Have: • Xray Test Management for Jira for integrating test plans/results with Jira, • Behavior-Driven Development (BDD) experience and tooling (e.g., Gherkin, Cucumber, Behave) to express acceptance criteria and drive automated tests, • Knowledge of performance testing fundamentals, • Docker and containerized test environments, • Cloud-based test environments and device/browser farms, • Experience with test data management and data-driven testing, • Prior exposure to Agile/Scrum development processes, • Hands-on experience with Cyara / Hammer/ Botium for automated testing and of contact center and IVR/ Chatbot flows. Key Competencies • Automation design and architecture, • Test strategy and planning, • Code quality and maintainability, • Debugging and problem solving, • Collaboration and teamwork, • Continuous learning mindset Why Pronetx? Join a team of thought leaders who have shaped the evolution of cloud-based customer experience solutions. You’ll work on innovative projects implementing next-generation technologies while having the opportunity to influence the future of customer experience technology. Our collaborative culture encourages pushing boundaries while ensuring practical, scalable solutions for our clients Compensation & Benefits • Competitive salary commensurate with experience, • Health, dental, and vision insurance, • Professional development budget, • Fully remote work environment Equal Opportunity Employer: Pronetx is committed to creating an inclusive environment where all team members can thrive, regardless of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status

Full Stack Engineer (Angular + Node.js) Shortlisting for interviews in January 2026. Details at a Glance · Position: Full Stack Engineer (Angular + Node.js) · Location: Remote (UK-based) with occasional team meetups in Manchester/London · Hours: 40 hours/week · Language: English (fluent) · Salary: starting from £45,000 depending on experience Overview At MYT Shutters, we are on a mission to expand and strengthen our software engineering team. Our company develops in-house advanced online ordering and automated production systems that are essential for our day-to-day business operations. These cutting-edge systems allow us to efficiently process customer orders and optimise the planning and manufacturing of our products. Company Background MYT Shutters is a rapidly expanding shutter manufacturer delivering high-quality window shutters worldwide. We run our own factory in the South of China and regularly develop innovative new products. We are a fast-growing, international team of dedicated professionals based around the world, with offices in Australia, The Netherlands, the United Kingdom, and China. About the Role We're hiring a Full Stack Engineer to help build and scale the systems behind our global manufacturing and logistics platform. You’ll work with Angular on the front end and Node.js / GraphQL (Apollo) on the back end, with PostgreSQL as the primary data store. The role involves working on both new features and core system components - encompassing business logic, data modelling, and database design - to ensure our systems remain robust, consistent, and maintainable. This is a hands-on engineering position suited to someone who understands how data and logic flow through a system, writes clean and well-structured code, and enjoys solving complex, real-world operational challenges. Tech Stack · Frontend: Angular, RxJS, TypeScript · Backend: Node.js, GraphQL, PostgreSQL, Apollo Server · Infra: AWS · Tooling: Nx monorepo, Playwright (E2E), GitHub Actions, CI/CD, ephemeral environments What You’ll Do · Build and maintain full-stack features spanning frontend, backend, and database layers. · Develop and maintain business logic, API endpoints, and data access layers. · Design and optimise relational database schemas and SQL queries. · Work with the team to refine requirements, clarify tickets, and ensure accurate implementation of functionality · Write clean, testable, and maintainable code · Integrate with and enhance GraphQL APIs and backend services · Contribute to GraphQL schema design and resolver implementation · Collaborate on improving build pipelines, CI/CD processes, and internal tooling · Participate in peer code reviews and uphold engineering quality standards · Work within an engineering culture focused on correctness, maintainability, and long-term reliability What We’re Looking ForRequired: · 2+ years software development experience · Commercial experience with Angular (v10+) · Strong proficiency in TypeScript and JavaScript · Familiar with RxJS and reactive programming concepts · Experience working with APIs (REST or GraphQL) · Some Node.js back-end experience (or willingness to grow in that area) · Good understanding of SOLID principles and clean architecture · Proficient with Git and modern source control workflows · Strong debugging and problem-solving ability · Clear communicator in a distributed, remote team · Ability to take ownership of features from design through to delivery Bonus: · Practical experience with GraphQL (Apollo, server or client) · PostgreSQL or relational database experience · Familiarity with AWS (RDS, S3, ECS/Fargate, etc.) · Experience with Nx monorepos and modular architectures · Testing experience with Playwright, Jest, or similar · Exposure to ERP, manufacturing, or production systems · Experience with CI/CD pipelines and containerised deployments Why Join Us? If you're excited by a clean stack, real-world problems, and a practical, technical team — we’d love to hear from you. What We Offer · A market competitive salary based on experience. · Professional development and training opportunities. · Work remotely. · Working in an international work environment, engaging in work relationships with colleagues across the globe. · 25 working days paid annual leave for 40 hours a week.

AI/ML Engineer (Generative AI / LLMs) Location: Fully Remote (UK-based) The Role We’re hiring a Senior Machine Learning Engineer to lead the design and production of Generative AI and Large Language Model (LLM) applications. This role sits at the heart of an AI-focused engineering team, delivering scalable, production-grade systems using GCP and Google’s AI ecosystem. You’ll be a senior, hands-on engineer owning complex technical problems end to end, with a strong influence over architecture, tooling, and the future direction of LLM-powered products. What You’ll Be Doing • Design, develop, and deploy advanced machine learning and deep learning models into production., • Architect scalable LLMOps pipelines on GCP / Vertex AI, including fine-tuning, vector search, and low-latency inference., • Build end-to-end LLM applications, leveraging RAG (Retrieval-Augmented Generation), agentic workflows, and prompt engineering., • Implement robust evaluation frameworks to monitor LLM quality, hallucinations, token usage, and content safety., • Develop and deploy autonomous or semi-autonomous agents using modern agent frameworks and Google AI tooling., • Collaborate with product and engineering teams to translate complex business requirements into ML-driven solutions., • Monitor, optimise, and continuously improve models in live production environments., • Contribute to the architecture and evolution of the AI platform and supporting data infrastructure., • Stay current with emerging research, tools, and best practices across ML and Generative AI. What We’re Looking For Essential • 5+ years’ experience in machine learning engineering or applied AI roles., • Recent, demonstrable experience with LLMs, Generative AI, and/or RAG-based systems., • Strong Python skills using frameworks such as PyTorch, TensorFlow, Hugging Face, or Google GenAI., • Experience with vector databases and retrieval-based architectures., • Proven experience designing and operating large-scale ML systems in production., • Strong experience with GCP Vertex AI (or equivalent cloud ML platforms)., • Solid software engineering fundamentals: APIs, Docker, CI/CD, and Git., • Strong understanding of deep learning, statistical modelling, and optimisation techniques. Nice to Have • Experience with agentic design patterns (e.g. ReAct, Chain-of-Thought, tool use)., • Familiarity with LLM evaluation frameworks such as RAGAS or TruLens., • Experience fine-tuning large models or working with reinforcement learning techniques., • Background in mathematics, statistics, or theoretical computer science., • Understanding of data governance, bias mitigation, or model interpretability. Why Join • Work on real, production-grade GenAI systems with clear business impact., • High autonomy and ownership in a senior, hands-on engineering role., • Fully remote working with a collaborative, distributed team., • Opportunity to influence architecture and long-term technical direction., • Competitive salary

Senior AI Engineer Fully Remote - UK based only. £70,000 to £80,000 + Bonus + Private Health Care - Permanent Position Do you want to have the chance to take ownership of a growing AI function and influence both the technical direction and long-term capability of a team? You will join at a point where the foundations are still being shaped, which gives you space to design systems, introduce standards and lead key decisions. You will also mentor junior engineers who are already in place, giving you a clear leadership path. The work involves varied challenges across research, applied engineering and production deployment, with an environment that supports autonomy and technical depth. Our client builds data-driven products that rely on large volumes of text-based information. They are expanding their AI capability and are hiring a Senior AI Engineer to take the lead in developing and productionising advanced NLP and LLM-based solutions. The Senior AI Engineer will be responsible for designing, building and deploying AI systems, with a focus on text processing, NLP and LLMs. You will work across research and implementation, taking models from concept to production, setting technical standards and supporting junior engineers. The role involves close collaboration with the AI, MLOps and Data Engineering teams, contributing to the wider technical strategy and ensuring models are reliable, maintainable and scalable. Key Responsibilities • Design and develop NLP and LLM-based systems for internal products and workflows., • Evaluate new models, techniques and approaches, recommending what should be adopted., • Fine-tune and adapt foundation models using domain-specific datasets., • Carry out analysis to understand model behaviour, drift and explainability., • Build and maintain tools for evaluation, prompt testing and dataset preparation., • Work with the MLOps engineer to deploy, monitor and retrain models in production., • Support CI/CD processes for AI, including version control, reproducibility and rollback workflows., • Provide mentorship and guidance to junior engineers., • Collaborate with product and engineering teams to integrate AI functionality into the platform. Required Experience • Experience as an AI or Machine Learning Engineer with responsibility for end-to-end model development and deployment., • Deep knowledge of RAG, • Experience processing high volumens of documentation/text, • Strong knowledge of NLP and LLMs (transformers, fine-tuning, retrieval-augmented methods, agents)., • Experience conducting applied research and converting experimental outcomes into production systems., • Familiarity with retraining workflows and performance monitoring., • Understanding of explainability and fairness techniques., • Hands-on experience with containerisation and orchestration (Docker/Kubernetes)., • Understanding of MLOps practices, CI/CD and model registry processes., • Experience mentoring or guiding junior engineers or leading technical initiatives. Nice to Have • Experience working with sensitive or regulated data (not essential)., • Experience with graph-based retrieval., • Familiarity with Azure ML or similar tooling. Career Path and Growth You will act as the senior figure within the AI group, shaping standards, guiding junior colleagues and influencing long-term technical decisions. Over time, this may evolve into broader leadership responsibilities as the team expands. The role suits someone who wants a balance of hands-on engineering, technical ownership and mentoring.

Lead Software Engineer PIE Recruitment England, United Kingdom (Remote) Engineering Lead – AI driven B2B SaaS platform Remote -- home based - UK only, access to London Permanent Role - £80,000 - £85,000 + benefits Looking for a role where you can shape product, own delivery, and work with cutting-edge tech — without drowning in bureaucracy? This is a chance to lead engineering at a fast-moving SaaS business that’s solving real problems with smart, scalable solutions. You’ll be joining a small yet perfectly formed high-performing team with serious ambitions. The platform’s already winning awards and landing big-name clients. Now they’re scaling — and they need someone who can drive technical excellence while keeping things lean, pragmatic, and user-focused. What You’ll Be Doing • Leading development across a modern, serverless-first stack (Vercel, Neon, AWS Lambda), • Building and maintaining robust APIs and services used by enterprise clients, • Owning delivery end-to-end — from discovery through to deployment and performance, • Shaping engineering culture, tooling, and processes as the team grows What You’ll Need to Bring • 8+ years’ full-stack experience, with strong TypeScript across backend (Express/Next.js) and frontend (React/Vue/Angular), • Solid cloud-native DevOps skills (AWS or GCP) — no server hugging here, • A sharp eye for quality, with strong testing and CI/CD practices, • Curiosity and ideas around how to harness generative AI in real-world products Who They Are This is a well-backed UK start-up with incredibly unique proposition for HR teams. They move fast, value autonomy, and are building something that genuinely works — no gimmicks, no fluff.

Are you a network engineer who’s moved beyond manual configuration and wants to build scalable, automated, software-driven networks? This Network Automation Engineer role is built for someone who enjoys solving complex networking problems through code, automation, and modern delivery pipelines. You’ll work in a consultative capacity, designing and delivering automation solutions for customers operating large, sophisticated network environments. If you’re comfortable working independently, enjoy autonomy, and want to apply deep networking expertise through Python, Terraform, and CI/CD - this is a genuinely grown-up, engineering-led role. 🚀 What You’ll Be Doing • Designing and delivering network automation solutions in a consultative, customer-facing capacity, • Translating traditional networking requirements into automated, repeatable workflows, • Building and maintaining automation using Python and Terraform, • Integrating automation into CI/CD pipelines for consistent, reliable network delivery, • Automating configuration, provisioning, and lifecycle management across Cisco-based networks, • Working extensively with REST APIs to interact with network and platform services, • Supporting cloud and containerised deployments, including Kubernetes-based environments, • Applying deep routing knowledge to automate complex network architectures, • Working independently in a fully remote setup, owning delivery from design through implementation, • Collaborating with customers and internal teams to drive adoption of automation best practices 🧠 What We’re Looking For • Strong experience in network automation and engineering roles, • Proven hands-on automation and scripting capability using:, • Python, • Terraform, • CI/CD tooling and pipelines, • Deep understanding of IP routing and service provider / large-scale network technologies, including: BGP, IS-IS, MPLS, L3VPN, L2VPN, & mVPN, • Solid understanding of REST API concepts (GET, POST, PUT, DELETE, etc.), • Experience working with Kubernetes and modern cloud deployment technologies, • Strong Cisco or Juniper networking background, • Ability to operate autonomously with minimal supervision in a remote environment, • Clear communicator who can engage customers in a consultative, solutions-led manner 💡 Why This Role? • Fully remote role with UK-wide flexibility, • High-impact work automating complex, large-scale networks, • Strong focus on engineering quality and modern network practices, • Exposure to cloud-native and containerised networking environments, • A role built around trust, autonomy, and technical depth 📩 Interested? If you’re a Network Automation Engineer with deep routing knowledge and a passion for building automated, programmable networks, I’d love to have a confidential conversation.

Trainee Service Engineer (Machine Tooling Equipment).

Sales and Proposals Engineer - Automation, Robotics, Tooling This innovative company works at the tech end of the manufacturing industry as leaders in the design and production of advanced automation solutions, working with market-leading customers across sectors such as automotive, off-road plant, medical. They included automated manufacturing and assembly systems involving robots. You must already...

This position is ideally suited to an individual with strong hands-on tooling experience, combined with the ability to design components and create production-ready CNC programmes and supporting set-up documentation.

Tooling Proposals EngineerEssex£40,,000 + Company Car + Commission Scheme circa 10% + PensionThe CompanyOur client has a 50-year trading history designing, developing and providing the highest quality plastic mouldings for customers in the medical, scientific and numerous other industrial sectors.

Senior Engineer Tooling Design - 25/113055AMICClosing date: 12/01/26Salary: £41,519 - £49,536Duration: 3 yearsHours: Full TimeWe are seeking a team-player who is passionate about innovative technology to play a major role in the leadership, management and expansion of applied research, innovation

Company Car + Commission Scheme circa 10% + Pension.Our client has a 50-year trading history designing, developing and providing the highest quality plastic mouldings for customers in the medical, scientific and numerous other industrial sectors.The business employs 60 staff with a £6 million turno

A leading engineering firm in the UK is seeking a Senior or Principal Mechanical Engineer to serve as the Technical Lead for Tooling Equipment. The role involves leading engineering teams from concept through design, ensuring compliance with legislative regulations, and managing stakeholder relation

An innovative upskilling platform in Greater London is looking for a Senior Front End Engineer.

Software Engineer, AI Agents Tooling & Platforms. You are excited to collaborate and communicate with engineers across Cloudflare, contributing to many layers of the stack. We’re building the foundational tooling and platform capabilities that power the next generation of AI agents on the Cloudfla

Provide specialist advice on tooling options (applicability for task) and support the operations teams with tooling issues and problem solving where required. Senior Manufacturing Engineer – Tooling. Accountability of onsite tooling contract management within remit for ME tooling team (i.

A leading open-source software firm is seeking a Performance Engineer to drive software performance and correctness across projects.

Job Description Senior / Principal Mechanical Engineer ( Tooling Lead Engineer) Location: Derby (but expected to travel to AEIL and Client Sites within the UK) Sector: Nuclear Defence | Engineering | Tooling Solutions Your Future TeamAs part of a growing account, **Assystem Energy

Ideally experienced in nuclear industry tooling: operational tooling, bespoke jigs, tools and fixtures, lifting and handling equipment, and tooling for transportation and storage protection. Senior or Principal Mechanical Engineer (Tooling - Lead Engineer). Sector: Nuclear Defence | Engineering | To

As a Technical Lead, you will be involved in developing an engineering capability with responsibility for managing and delivering tooling engineered solutions. Ideally experienced in nuclear industry tooling: operational tooling, bespoke jigs, tools and fixtures, lifting and handling equipment, and

A leading AI customer service firm in London seeks a Senior Frontend Engineer to enhance user interfaces and improve product development. This role involves collaborating with experts, driving technical strategy, and developing tools for engineers, featuring a modern React stack.

Data Engineer, Prime Video Core Analytics and Tooling. Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operation

A prestigious educational institution is seeking a full-time Research Software Engineer to improve sustainable software development practices for Palaeoverse at UCL.

A leading streaming service provider based in London is seeking a Data Engineer to join their Prime Video Core Analytics team. Ideal candidates will have experience with big data technologies and software engineering best practices.

A leading defense contractor in the UK is seeking a Senior Manufacturing Engineer for their Barrow-In-Furness location. The role is focused on tooling, encompassing procurement to delivery, and requires significant collaboration with stakeholders.

Do you have Engineering experience from HVAC, Controls or similar backgrounds? Are you looking to join a growing business who will invest heavily in your development through training and progression opportunities?.