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B2B SaaS | Fully Remote | UK Location: London Type: Full-time Role Overview Accessible rail travel depends on systems that work reliably in live environments. Our Passenger Assistance platform turns passenger assistance requests into coordinated action inside live rail operations. We’re hiring a Senior Front-End Engineer to own and scale the front-end layer of a platform used daily in live rail operations. Strategic Context Transreport exists to remove structural barriers in rail travel. Our vision is that everyone has access to travel everywhere. We operate across the UK, Japan, and the EU and have supported over 10 million assistance requests for more than 1 million users. We are a Series A company recognised with a King’s Award. As our platform grows in complexity, this role ensures that usability, stability, and engineering quality scale with it in a live rail environment where failures directly impact real journeys. Outcomes & Impact Within 6 months, you will: • Own and deliver complex features end-to-end within one active product stream., • Confidently drive cases from refinement through to release with minimal supervision., • Improve accessibility, maintainability, and test coverage across your area., • Act as a trusted delivery partner for Product and QA., • Strengthen code review standards and engineering consistency. Within 12 months, you will: • Confidently contribute to UK and Global teams based on priority., • Lead incident response efforts when front-end issues affect production., • Influence front-end architectural decisions., • Raise the overall quality bar across our Vue/Nuxt ecosystem. Responsibilities • Own & Deliver: Take full ownership of features from discovery through production release, ensuring high-quality and timely delivery., • Drive Cases & Process: Independently drive development work, manage ambiguity, and proactively remove blockers without requiring day-to-day direction., • Accessibility & Standards: Champion accessibility best practices and ensure implementation aligns with inclusive design principles., • Technical Leadership: Conduct code reviews, guide architectural decisions, and raise engineering standards across the front-end codebase., • Incident Response: Lead investigations and resolution efforts during critical production incidents, ensuring fast and structured recovery., • Collaboration: Work closely with Product, Design, QA, and backend engineers to refine requirements and ensure clarity before development begins., • Continuous Improvement: Contribute to better tooling, documentation (e.g., C4 model), CI/CD improvements, and development processes. The Tech Environment: • Framework: Nuxt 3 (Vue 3 with SSR), Nuxt Auth, Nuxt i18n, • Build & Runtime: Vite, Nitro, • State Management: Pinia, • Testing: Vitest, Vue Test Utils, • Styling: TailwindCSS, • Code Quality: ESLint, Prettier, • Tooling: Mocks Server, Date FNS, Lokalise You are not expected to know every tool on day one, but you should be comfortable mastering complex front-end ecosystems and guiding others in best practices and troubleshooting. Requirements Must Haves • 5+ years of experience in front-end development with modern JavaScript frameworks (Vue.js, React, Angular, etc.)., • Strong expertise in Vue.js and modern front-end architecture., • Proven experience owning and delivering complex features end-to-end., • Strong knowledge of HTML, CSS, and TypeScript/JavaScript., • Experience with state management (Pinia, Vuex, Redux, etc.)., • Experience working within established codebases and improving them., • Comfortable working with minimal supervision in high-autonomy environments., • Experience in Agile development environments., • Familiarity with CI/CD and modern practices such as TDD., • Ability to prioritise effectively and manage multiple initiatives., • Strong written and verbal communication skills in English., • Comfortable working within a remote team. Nice to Haves: • Experience implementing designs from Figma/AdobeXD/Sketch with high fidelity., • Experience working on accessibility-focused or public-facing products., • Exposure to Ruby on Rails environments., • Experience with Docker, Kubernetes, or cloud-native systems., • Experience working with external product owners or regulated industries., • Contributions to open-source JavaScript projects or technical blogging. Benefits • Private healthcare after your probation (including children), • Free flu jab for you and your family, • 25 days holiday, • Volunteering Leave, • Cycle and Tech Scheme Culture & Operating Principles We value: • Ownership over hierarchy, • Clarity over bureaucracy, • Impact over job titles We operate with high autonomy and high accountability. People are expected to raise risks early, communicate clearly, and take responsibility for outcomes. Interview Roadmap • Screening Call (30 mins) – Recruiter alignment, • Technical Exercise – Front-end architecture & delivery approach, • Deep Dive Interview – Engineering & Product, • Final Culture Conversation – Leadership alignment Guaranteed Interview Scheme We’re a Disability Confident employer and we welcome applications from disabled candidates. If you need any adjustments at any stage of the recruitment process, please tell us what would help - we’ll work with you to make the process as accessible as possible. We also offer a Guaranteed Interview Scheme (GIS) for candidates who consider themselves to have a disability as defined under the Equality Act 2010. If you indicate this option in your application and your application demonstrates that you meet the essential criteria for the role, you’ll be invited to interview or assessment. Choosing GIS doesn’t guarantee a job offer. If you have any questions, please get in touch.

Full Stack Engineer At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide. Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary. We welcome you to apply! When applying to this general posting, our expert BNY Talent Acquisition Team may also review your resume for consideration across other open roles within the company. We’re seeking a future team member for the role of Full-Stack Engineer to join our team. This role is located in Manchester In this role, you’ll make an impact in the following ways: • Lead and develop inclusive, high performing engineering teams; set clear objectives, coach talent, and build succession plans while representing engineering in program reviews and governance forums., • Own end to end delivery of mission critical software—from requirements and architecture to implementation, testing, deployment, observability, and reliability—while ensuring compliance and operational excellence., • Raise engineering excellence and resilience: enforce best practices and automation across code, testing, microservices/APIs, performance, and infrastructure; champion secure by design (secure coding, logging/monitoring, incident playbooks, disaster recovery)., • Partner with product, design, and ops to turn outcomes into measurable technical plans, steer architecture modernization, integrations —aligned to BNY’s principles and pillars. To be successful in this role, we’re seeking the following: • Proven leadership of software engineering teams building distributed systems and microservices in agile environments such as Scrum or Kanban., • Hands-on AI development using modern tools and IDEs (e.g., Windsurf) and familiarity with integrating AI into products., • Strong expertise in Java (preferably Spring) and architectural patterns for scalable, observable, and testable systems., • Proficiency in modern engineering practices including CI/CD (e.g., GitLab), automated testing (JUnit/Spock), code reviews, quality focused test-driven development, and DevOps culture., • Hands-on experience with containers (Docker) and private cloud infrastructure, alongside familiarity with service telemetry tools (e.g., Splunk, AppDynamics)., • Track record of talent development including hiring, coaching, performance management, and building collaborative, learning-focused teams., • Dedication to understanding the business domain and translating product strategy into architecture and delivery plans., • Corporate Actions domain experience strongly preferred., • Experience with JavaScript/TypeScript and Angular for full-stack development contexts preferred., • Expertise in Spring Framework, software architecture, and API/platform design preferred., • Background in financial services, risk and controls, and regulated environments preferred. At BNY, our culture speaks for itself, check out the latest BNY news at: Here’s a few of our recent awards: • America’s Most Innovative Companies, Fortune, 2025, • World’s Most Admired Companies, Fortune 2025, • “Most Just Companies”, Just Capital and CNBC, 2025 Our Benefits and Rewards: BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life’s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter. BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans. This is a talent pipeline posting and does not represent any one particular job opening. By applying to this pipeline requisition, your interest will be reviewed for multiple potential openings based upon your background and disclosed work preference.

Who Are We? Gear4music is a leading UK & European musical retailer. Since launching in 2003, our mission has been to make music accessible for all. We now offer over 62,000 products, serve customers in 190 countries, and operate in 15 languages and 9 currencies. In 2022, we also launched AV.com – retailing HiFi, Home Cinema, and accessories. Behind the scenes, we’re powered by a growing technical team who make all of this possible. We recently turned over £147m and continue to grow, evolve, and innovate. Who Are You? You're a motivated, flexible and talented engineer who is enthusiastic about learning new things and challenging themselves. You’re not a lone ranger but believe in collaborative, friendly working environments that deliver real projects. You’re someone who takes pride in the things you do, from beginning to end. You love the attention to detail and might admit it's a blessing and a curse. You’ll also need some personality, a strong GIF-game, and we’d love to know what you’re into.. to an extent. Your Mission You will be someone who pushes commercial value and helps improve team values. You relish the opportunity to work with like minded people, helping influence and reinforce value through data-driven decision making. You help shape and define how we can be more effective with both commercial and team values at the core of each decision. You will: • Have the soft-skills necessary to accept and provide feedback graciously., • Drive and deliver change utilising your technical knowledge., • Promote a positive, open, communicative attitude and culture within your team., • You will champion new technologies when it’s right for the business. Some of the technical things we’re looking for: • Modern PHP development skills., • HTML5, SCSS, JavaScript (including frameworks like ReactJS and ExtJS)., • MySQL knowledge, working with large databases., • Cloud computing and containerised applications., • Building scalable distributed systems., • A background in e-commerce., • An interest in software performance., • Any of: Composer, Docker, Github, CI, PHPUnit, Kubernetes, Google Cloud, ElasticSearch, xhprof. Don’t worry if you can’t tick all these boxes! If you did, you might be exaggerating. We’d like to hear from you if this sounds like the type of technology stack you’re used to working with. Why Us? Because we care about YOU. We pride ourselves on our culture, offering more than gimmicky branded merch and a PS5 you don’t have time to play. You are the most important aspect of our business. We want to grow and nurture you in an open and supportive environment. We create a safe and conducive atmosphere for you to share your ideas and make the necessary mistakes without the fear of failing - after all, mistakes are growing pains! We bring our most authentic selves forward - no need to pretend to be something you’re not, we’d rather your energy went into something more fulfilling. We embrace and encourage individual quirks and believe these qualities should be celebrated as they are vital to our innovation. We actively seek new ways to develop ourselves and respond to feedback constructively. We proactively share advice with others to accelerate our growth with new insights and perspectives. We celebrate each other's success because when we win, we win together and if we don't win, we learn together! We've got important things covered, like having properly trained mental health first aiders, a wellbeing coach, work-life balance, tailored personal progression plans and the glue that holds us all together - our Slack channel. We’re techy to the core, with technical leaders through to board level. We pride ourselves on our flat structure where directors sit in with the teams and are there when you need them. We encourage open and honest feedback, even if you’re critiquing your boss. No power games here! What We Will Offer • Great pay – and it’s always on time., • No expectation of long hours. We respect your time., • A personal development plan and regular 1:1s., • Your choice of Mac or Windows Laptop, • Health Assured Employee Assistance Programme., • A generous staff discount scheme., • Flexible hours and no dress code., • Mental health first aiders., • A strong learning culture with support for external training. And the usual good stuff: • Cycle to work scheme., • Eyecare vouchers., • Company pension scheme., • Employee referral bonuses. We are an equal opportunities employer and welcome applications from all suitably qualified candidates, regardless of age, disability, gender reassignment, marriage or civil partnership status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation, in line with the Equality Act 2010. If you require any reasonable adjustments as part of the recruitment process, please let us know. A member of our friendly recruitment team will contact you to discuss your needs in more detail and ensure appropriate arrangements are made.

MLOps Engineer - £100K - Fully Remote Our client is a leading software as a service (SaaS) company, building cutting-edge solutions for trading, egaming and payments all over the world. Offering fully remote working, they’re looking to hire an MLOps Engineer. You’ll work in their Data Platforms team and be key in the design, building and support of Machine Learning platforms to deliver the power and scale of AI capabilities. Work will include the design and deployment of high quality, scalable platforms for running production Machine Learning software, helping define the overall strategy and roadmap for ML and AI and supporting platform deployments and CI/CD tools and processes. You’ll need a positive, growth, mindset, great experience of ML frameworks and software delivery and good knowledge of DevOps (Kubernetes especially), MLOps and Security. Requirements: • Proven Machine Learning and MLOps experience, • KubeFlow exp would be ideal, • Good knowledge of Cloud - AWS, Azure, GCP, OpenStack etc, • Solid DevOps experience - Kubernetes, Observability, IaC, CI/CD etc, • Coding skills using Python, Ruby, Perl etc, • Strong understanding of software development, modern tech and frameworks, • Solid Linux knowledge Tech / Tools you’ll be working with (some of them!) • Kubeflow, • Spark / MLlib / Tensorflow / PyTorn, • REST / FastAPI, • Docker / Kubernetes, • Terraform / Ansible, • GitOps, • Python / Bash

DevOps Engineer - MLOps - Fully Remote Our client is a leading tech consultancy and software development firm. Offering fully remote working, working on a range of egaming, trading and payments projects they’re looking to hire an MLOps Engineer with great DevOps / Platform knowledge and exp of KubeFlow and Kubernetes. You’ll work in their Data Platforms team and be key in the design, building and support of Machine Learning platforms to deliver the power and scale of AI capabilities. Work will include the design and deployment of high quality, scalable platforms for running production Machine Learning software, helping define the overall strategy and roadmap for ML and AI and supporting platform deployments and CI/CD tools and processes. You’ll need a positive, growth, mindset, great experience of ML frameworks and software delivery and good knowledge of DevOps, MLOps and Security. Requirements: • Proven MLOps experience, • Good knowledge of Cloud - AWS, Azure, GCP, OpenStack etc, • Strong DevOps experience - Kubernetes, IaC, CI/CD etc, • KubeFlow and Machine Learning exp, • Coding / scripting skills, • Good, overall, understanding of software development, modern tech and frameworks, • Solid Linux knowledge can't hurt! Tech / Tools you’ll be working with (some of them!) • Kubeflow, • Spark / MLlib / Tensorflow / PyTorn, • REST / FastAPI, • Docker / Kubernetes, • Terraform / Ansible, • GitOps, • Python / Bash

We are looking for a technically capable and detail-oriented Engineer to join our sales and support team for a well-known Security Integrator . You will be responsible for supporting cloud-hosted systems on AWS, with a strong focus on containerized environments using Docker and Docker Swarm. Our systems provide critical infrastructure for physical and electronic security solutions, so reliability, responsiveness, and attention to detail are essential. You’ll work closely with development, security, and infrastructure teams to ensure uptime, resilience, and ongoing improvement of our platform. Key Responsibilities: Provide support for cloud-hosted production and staging environments used in electronic security platforms. Monitor, maintain, and troubleshoot distributed containerized services using Docker and Docker Swarm. Respond to and resolve incidents, working to minimize downtime and ensure high system availability. Investigate system performance, log anomalies, and service issues, escalating when appropriate. Collaborate with DevOps and software engineering teams to implement improvements and automation. Maintain thorough documentation of system configurations, processes, and known issues. Assist in system upgrades, patching, and performance tuning. Support security compliance and auditing activities where applicable. Participate in an on-call support rotation. Required Skills & Experience: 2+ years of experience in a technical support, DevOps, or infrastructure engineering role. Strong hands-on experience with Docker and Docker Swarm in a production environment. Proficiency with core AWS services: EC2, S3, CloudWatch, IAM, ELB, ECS/ Fargate, and RDS. Solid understanding of Linux server environments, command-line operations, and scripting. Experience in supporting real-time or mission-critical systems (security, IoT, or similar sectors). Familiarity with log aggregation, monitoring, and alerting tools (e.g., ELK, Prometheus, Grafana). Good understanding of networking, VPNs, load balancing, DNS, and firewalls. Comfortable with Git and CI/CD workflows. Excellent troubleshooting skills and structured problem-solving approach. Strong written and verbal communication skills. Desirable / Nice to Have: Experience with Microsoft Azure cloud services. Background or familiarity with electronic security systems, access control, or surveillance technology. Exposure to Infrastructure as Code tools (e.g., Terraform, CloudFormation). Knowledge of container security and cloud compliance best practices. Experience with scripting languages (e.g., Python, Bash, PowerShell). Understanding of security certifications or industry compliance (e.g., ISO 27001, SOC 2) is a plus. Experience with Kubernetes or OpenShift for container orchestration. Familiarity with CI/CD pipelines and automation tools (e.g., GitHub Actions, Jenkins). Exposure to monitoring tools like Prometheus, Grafana, or ELK stack. Experience supporting enterprise customers in a B2B SaaS or software product company. Experience with access control and intrusion detection systems. Familiarity with virtualization technologies (e.g., VMware, Hyper-V). Knowledge of database systems (e.g., PostgreSQL, MS SQL). Relevant industry certifications (e.g., CompTIA Network+, Security+, CCNA). Experience providing technical training to end-users. Required Qualifications: Experience: 3+ years in a technical support, DevOps, or systems engineering role. Hands-on experience with Docker, docker-compose, and container lifecycle management. Experience supporting or integrating MinIO or similar S3-compatible object storage. Technical Skills: Familiarity with advanced networking concepts and protocols (TCP/IP, DNS, DHCP, VLANs, routing, proxies, firewall configuration, etc.). Strong Ubuntu Linux system administration and troubleshooting skills. Proficient in working with CLI tools and analyzing logs. Experience with storage solutions, volume mounts, and container data persistence. Soft Skills: Excellent communication skills for dealing with technical and non-technical users. Problem-solving mindset with attention to detail. Excellent troubleshooting and problem-solving skills with a logical and methodical approach. Ability to manage multiple priorities and respond promptly to issues. Mayflower is acting as an Employment Agency in relation to this vacancy.

Role Summary: Job Title: Infrastructure Engineer (Mid, Senior, Lead) Job Type: Permanent Pay: £40,000 - £85,000 + Bonus + Benefits Benefits Summary: Life Assurance, Private Medical Insurance, Income Protection, Enhanced Pension, Professional Development Support, and more. Location: Manchester (Hybrid - 3-5 days on site depending on project) Security Clearance: Must already hold active DV Clearance About the client: Imagine working for a powerhouse of British innovation that has spent over 60 years at the absolute cutting edge of National Security, Defence, and Intelligence. This isn't just another engineering firm; they are the invisible shield protecting what matters most. They bring together the brightest minds—scientists, analysts, and creatives—to solve complex, high-stakes problems that the rest of the world doesn't even know exist yet. They offer an environment where "trust, tools, and freedom" aren't just buzzwords, but the foundation of their mission to shape the technologies of tomorrow. About the job: As an Infrastructure Engineer, you will be the backbone of mission-critical secure environments. This is a high-impact role where you will provide proactive management and reactive support for customers within the National Security space. You won't just be "keeping the lights on"; you will be implementing automation to eliminate human error, evolving agile platform operations, and ensuring that some of the UK’s most sensitive infrastructure remains stable, reliable, and ahead of potential threats. Key Responsibilities: • Providing operational support, including incident resolution, change implementation, and maintenance for stable environments., • Implementing approved technical requests and automation to improve productivity., • Developing and implementing improvements to operational and reference platform environments., • Producing clear and concise technical documentation and supporting the Tech Lead with risk management., • Proactive monitoring and stakeholder management, including service reporting and reviews., • Embracing ITIL4 practices for agile platform operation delivery and operations., • Ensuring compliance with industry regulations, best practices, and internal standards. Key Skills: VMware Suite, ESXi, vCenter, NSX, VCF, Windows Server, AD, DNS, DHCP, PKI, Linux, Veeam, Docker, Kubernetes, Nagios, Networking, Cyber Security, ITIL. How to apply: Please either apply through this advert or emailing me directly via . For further information please call me: +44 7441 342136. By applying for 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.

Do you want to work on real-world deployments of cutting-edge machine learning models, including Large Language Models (LLMs)? Aveni is redefining how AI works for financial services. Our purpose-built, vertically integrated platform combines proprietary Language Models (FinLLM), intelligent AI Agents, and targeted solutions like Aveni Assist and Aveni Detect. We partner with leading financial institutions to deliver scalable, secure, and compliant AI-powered solutions that create measurable value across advice, compliance, and operations. We're looking for a motivated Senior DevOps Engineer, eager to help us deploy and maintain machine learning models, especially Large Language Models (LLMs), in production environments. If you have solid DevOps experience and are keen to grow your MLOps skills, we’d love to hear from you! What You'll Be Doing: • Automating Machine Learning workflows (training → deployment) with AWS & GitOps, • Deploying LLMs using Kubernetes & Docker, • Building infrastructure with Terraform & Helm, • Monitoring and maintaining ML models with performance alerts and dashboards, • Supporting CI/CD for ML pipelines, • Developing production-grade APIs (REST/gRPC) to serve models, • Collaborating with engineers, data scientists & DevOps teams Your Experience: • Industry experience in DevOps or MLOps roles (ideally in AWS environments), • Hands-on with Docker, Kubernetes, and Terraform, • Strong scripting skills in Python or Bash, • Familiar with ML lifecycle tools, model monitoring, and versioning, • Exposure to tools like KServe, Ray Serve, Triton, or vLLM a big plus Bonus Points: • Experience with observability frameworks like Prometheus or OpenTelemetry, • Knowledge of ML libraries: TensorFlow, PyTorch, HuggingFace, • Exposure to Azure or GCP, • Passion for financial services Requirements: • Degree in Computer Science, Engineering, Data Science or similar What We Offer • Remote-first working across the UK., • Work abroad policy for when you want a change of scenery., • Co-working spaces available if you want an office buzz sometimes., • 34 days holiday (including flexible bank holidays) and your birthday off., • Company-wide off-sites (yes, karaoke may happen)., • Optional Personal Development Plan., • Flexible benefits platform: you choose the benefits that matter most to you (not the company)., • Protection essentials, because we know they matter - Life Insurance, Income protection, critical illness cover, Pension (up to 5% matched employer contribution and optional increased contributions)., • Private health- and dental care for your peace of mind., • Potential share options, have a stake in what you’re building., • Enhanced family leave. 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!

A growing software business is hiring a Software Engineer to support continued growth and rising demand for its platform. Software Engineer Remote | Up to £60,000 | Java or Kotlin | Spring Boot This is a back-end focused role, ideal for an engineer who enjoys building reliable, scalable applications and wants to work on software used by well-known customers. You will be involved in the design, development and delivery of new features, as well as improving core products in a fast-moving environment. The role is fully remote, with the option to attend the Newbury office around once a month if desired. What you will be doing • Developing back-end applications using Java or Kotlin, • Building software with Spring Boot, • Designing and delivering new features, • Enhancing existing products and platform capability, • Working across the full software development lifecycle, • Supporting QA and UAT feedback through to release, • Collaborating with project, account and delivery teams to understand requirements and turn them into practical solutions, • Writing clean, maintainable, high-quality code What they are looking for • Strong commercial experience in software engineering, • Good hands-on experience with Java or Kotlin, • Strong experience with Spring Boot, • A back-end development background, • Experience building scalable systems in a modern development environment, • Strong problem-solving skills and attention to detail, • Ability to work independently in a remote setup Nice to have • Microservices experience, • Docker or Kubernetes, • RabbitMQ or other messaging tools, • MongoDB or other NoSQL database experience, • Experience in telecoms, billing or transaction-led systems Package • Up to £60,000, • Remote working, • Optional monthly office time in Newbury, • 24 days holiday plus birthday off, • Private medical, • Life assurance, • Critical illness cover, • Employee assistance programme, • Contributory pension Apply now or contact Chris Lynes at Spectrum IT Recruitment

Staff Machine Learning Engineer – | 3 Roles | UK Remote I'm working with a fast-growing, PE-backed SaaS business that has just launched a world-leading AI product — and they're expanding their AI/ML engineering team with three Staff-level hires. All three roles sit on the same product, the same stack, and the same mission. The difference is your specialism. ────────────────────────── 𝟭. Staff SE – Agentic AI Leading the design of multi-agent systems and LLM orchestration patterns. If you've built and shipped complex agentic workflows end-to-end, this one's for you. ▸ LangGraph · Pydantic AI · Agent SDK · LLMOps 𝟮. Staff SE – Information Extraction Owning ML models and pipelines that extract structured knowledge from complex, unstructured documents at scale. ▸ NLP · Document AI · Data Pipelines · Evals 𝟯. Staff SE – MLOps / DevOps for AI Shaping the infrastructure behind model serving, training pipelines, LLMOps, and AgentOps across the full AI stack. ▸ MLFlow · Databricks · Datadog · Terraform ────────────────────────── What all three roles require: • 7+ years in AI/ML engineering, shipping models in production, • 3+ years in a Staff-level or senior technical leadership role, • Hands-on AWS (Bedrock, SageMaker) and/or GCP Vertex AI, • Strong Python; Java or Rust a bonus, • Experience with LLMs, evaluation frameworks, and agentic AI patterns, • Docker, K8s, Terraform, CI/CD, • A collaborative leadership style — mentoring engineers, shaping best practices ────────────────────────── Core stack: Python · Rust · Java · Amazon Bedrock · SageMaker · Vertex AI · LangGraph · Pydantic AI · LangFuse · MLFlow · Databricks · Datadog · Claude Code · Docker · K8s · Terraform · Vector DBs · Graph DBs ────────────────────────── UK Remote Competitive Salary and benefits Not eligible for visa sponsorship ────────────────────────── Interested? Please apply, or know someone who might be? Drop me a DM • Seniority Level, • Not Applicable, • Industry, • Software Development, • Employment Type, • Full-time, • Job Functions, • Engineering, • Skills, • Artificial Intelligence (AI), • Large Language Models (LLM), • Machine Learning, • Technical Leadership, • Multi-agent Systems, • AWS SageMaker, • Amazon Web Services (AWS), • Python (Programming Language), • LangGraph, • Amazon

PLATFORM ENGINEER- EDV CLEARED CLOUD ENGINEER- Permanent opportunity for a Platform Engineer with enhanced DV Clearance. - Salary up to £90,000 DOE - Manchester based offices - To apply, please call Laura Jackson on , or email with an up-to-date CV. WHO ARE WE?We're hiring for Platform Engineers at various levels to join a top consultancy delivering cutting-edge solutions for industry-leading Defence and National Security clients. You'll have the opportunity to work across multiple high-impact, innovative and mission-critical projects, shaping solutions that make a real difference. Due to the sensitive nature of the work, an active enhanced DV is required THE PLATFORM ENGINEER- Active enhanced DV Clearance - Manchester Based or ability to travel to Manchester.- Experience as in a cloud infrastructure/ cloud support role. PLATFORM ENGINEER ESSENTIAL SKILLS- Strong experience with cloud technologies (AWS, Azure, GCP)- Infrastructure as Code e.g. Terraform - Experience building and maintaining CI/CD pipelines using tools such as GitLab or Jenkins- Experience with containerisation tools (Kubernetes, docker) TO BE CONSIDERED:Please either apply through this advert or emailing me directly on . For further information please call me: / . By applying for 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 on...

Data Engineer Remote UK Salary: £45,000 - £55,000 This is an exciting opportunity to step into a high-impact Data Engineering role within a fast-scaling data and machine learning environment. You will sit at the core of the engineering function, working closely with a large data science group and shaping the foundations of their internal tooling and pipelines. The Company They are a rapidly growing data and analytics organisation operating in the alternative data and machine learning space. Their platform powers KPI prediction models used by investment-focused clients, and they have built a strong engineering culture to support a substantial data science function. With significant recent investment and continued growth, they are now expanding their ETL and automation capabilities to strengthen internal workflows and infrastructure. The Role You will focus on building, maintaining, and optimising internal ETL pipelines and workflow automations that support data scientists and enable reliable, scalable reporting. Key responsibilities include: • Designing and maintaining custom ETL pipelines in a cloud-native environment., • Automating internal processes and integrations across tools and APIs., • Supporting workflow orchestration using technologies such as Airflow or AWS Step Functions., • Containerising and deploying services using Docker., • Collaborating with data scientists to streamline their data workflows., • Contributing to improvements across orchestration, tooling, and internal engineering processes. Your Skills and Experience • Strong commercial experience with Python and common data libraries., • Proven ability to build and maintain ETL pipelines., • Hands-on experience with AWS services., • Experience with Docker and containerised workflows., • Familiarity with workflow orchestration tools., • Comfortable integrating with APIs and external tooling., • A practical, delivery-focused approach with the ability to own tasks end to end. How to Apply If this sounds like your next step, please send your CV to register your interest.

!! IMMEDIATE JOINERS !! Senior Java Software Developer Location: Bournemouth / Glasgow Work Mode: On-site Job Type: Full-time The Role We are looking for a Java Full Stack Developer who A Java Developer (2-5 years experience) designs, codes, tests, and maintains scalable Java applications, collaborating with teams, debugging issues, and using frameworks like Spring/Hibernate, focusing on clean, efficient, object-oriented code, participating in the full SDLC. You will be a key player in our agile squad, responsible for the end-to-end delivery of scalable web applications. What You’ll Do (Responsibilities) • End-to-End Development: Design and develop high-volume, low-latency applications for mission-critical systems., • Back-End Excellence: Write clean, maintainable code using Java and the Spring Boot ecosystem., • Front-End Innovation: Build responsive, user-friendly UI components using React, Angular, or Vue.js., • Database Management: Design and optimize schemas for relational (PostgreSQL/MySQL) and NoSQL databases., • API Design: Build and consume secure RESTful APIs to integrate with internal and third-party services., • Collaboration: Participate in code reviews, sprint planning, and daily stand-ups to ensure high-quality software delivery., • Strong understanding of Object-Oriented Programming (OOP) principles. What We’re Looking For (Requirements) • Experience: [Number] years of professional experience in Java-based software development., • Java Knowledge: Hands on experience of Core Java, Multithreading, and Spring Framework (Boot, Security, Data JPA)., • Modern Web Stack: Proficiency in HTML5, CSS3, and JavaScript/TypeScript., • Cloud & DevOps: Familiarity with AWS, Azure, or GCP and containerization tools like Docker/Kubernetes., • Tools: Expert knowledge of Git, Maven/Gradle, and CI/CD pipelines (Jenkins/GitLab CI). Nice-to-Haves • Experience with Microservices architecture., • Knowledge of Kafka or RabbitMQ., • Relevant AWS or Java certifications.

Full-Stack Engineer Location: London (Hybrid) Salary: Up to £80,000 + benefits We have partnered with a well-funded, founder-led technology startup operating in the sports and media space, building next-generation systems for processing and analysing live content in real time. As the platform scales, they’re hiring a Full-Stack Engineer to design and deliver high-performance systems across real-time data pipelines, modern frontend applications, and AI-enhanced product features. What You’ll Do as a Full-Stack Engineer: • Own the end-to-end delivery of real-time video, data, and AI-driven analysis across a modern digital content platform., • Design and build resilient backend services using Java and cloud-native infrastructure., • Develop modern, high-performance frontend applications using TypeScript and a modern JavaScript framework., • Architect and maintain real-time data pipelines using event-driven systems and streaming technologies., • Work across cloud-based serverless and containerised infrastructure to deploy scalable, production-ready systems., • Integrate LLM APIs and AI-powered workflows into product functionality and engineering processes., • Leverage AI coding assistants and modern development tooling to accelerate development and automate workflows., • Collaborate closely with a small, high-trust engineering team to ship features quickly and reliably., • Take ownership of system architecture, infrastructure decisions, and production deployments. Core Technology Stack: • Backend: Java, distributed messaging systems, relational databases, Docker, infrastructure as code, • Frontend: TypeScript, modern JavaScript frameworks, • Infrastructure: Cloud-native serverless and containerised environments, • AI Tooling: Regular use of AI-powered development tools and coding assistants What We’re Looking For in a Full-Stack Engineer: • A polyglot engineering mindset with the ability to work across multiple languages and systems., • Strong experience building backend services and distributed systems., • Ability to read, understand, and contribute to Java-based systems., • Frontend experience with modern frameworks such as React, Vue, Svelte, or similar technologies., • Hands-on experience integrating LLM APIs from leading providers., • Regular use of AI tools and coding assistants to increase development velocity and automate workflows., • Strong engineering fundamentals including testing, documentation, security, and performance optimisation., • Comfort working in fast-moving environments where ownership, clarity, and delivery are expected. Nice to Have’s as a Full-Stack Engineer: • Experience in sports technology, live event data systems, or digital media platforms., • Exposure to streaming technologies or real-time data processing frameworks., • Strong experience designing data architectures and large-scale distributed systems. This is a rare opportunity for a Full-Stack Engineer to help shape a real-time digital platform from an early stage, working with modern cloud infrastructure and AI-augmented engineering workflows to deliver high-impact systems.

We're hiring a Gen AI Engineer If you've built LLM systems that actually work in production — not prototypes, not demos — this is worth reading. What our client does They're an AI company operating at the intersection of computer vision and large language models, building intelligent workflows for industries where work happens in the field: utilities, telecoms, energy, retail. Their platform processes real-world operational data at scale, helping global enterprise clients make faster, safer and more accurate decisions about their assets and people. They own a dataset in this space that nobody else has. That matters when you're building AI that actually needs to work. 50+ models in production. Real clients. Real scale. The role You'll own LLM applications end to end. Architecture, prompt engineering, RAG pipelines, eval tooling, guardrails, all of it. No handoffs, no red tape. You build it, you own it. Stack: LangChain / LangGraph, AWS Bedrock, Pinecone / FAISS / Weaviate, DeepEval / Langfuse, Docker, Python. Multimodal capability essential. What we're looking for • 2+ years building and deploying production LLM systems, • Hands-on with RAG, vector databases and retrieval optimisation, • Eval tooling experience: DeepEval, Langfuse, Ragas or equivalent, • Strong Python and LLM orchestration frameworks, • Multimodal LLM experience (text + image/video), • Can own a model autonomously without hand-holding Why join Small senior team. Bi-weekly shipping cycles. Remote-first with optional London office and monthly meetups. Equity, healthcare allowance, pension. The problems are hard. The data is unique. The ownership is real.

Cloud Platform Engineer Location: London (Hybrid) Salary: £65,000 – £75,000 20% Employer Pension Contribution I’m working with a well known public sector organisation to hire a Cloud Platform Engineer to play a key role in building and maintaining their Azure cloud infrastructure. This position will focus on infrastructure as code, automation, and platform reliability, working closely with development and DevOps teams to deliver scalable, secure, and high-performing cloud environments. What you’ll be doing: • Designing and managing Azure cloud infrastructure using IaC (Terraform), • Building and maintaining CI/CD pipelines for infrastructure and applications, • Monitoring systems, troubleshooting issues, and improving reliability, • Implementing security, compliance, and governance best practices, • Supporting incident management and root cause analysis, • Collaborating with engineering teams to embed DevOps practices The Cloud Platform Engineer will have: • Strong experience with Azure cloud services, • Proven experience with Infrastructure as Code (Terraform), • Experience with CI/CD tools (Azure DevOps, GitHub Actions, etc.), • Scripting skills (PowerShell, Bash, or Python), • Knowledge of containers (Docker, Kubernetes), • Understanding of cloud security, networking, and monitoring tools

Senior DevOps Engineer – AWS Platform (Hands‑On) Manchester | On‑site Modern AWS | Built from scratch | No legacy A high‑growth tech organisation in Manchester has built a fully modern AWS platform and is now looking for a hands‑on Senior DevOps Engineer to help operate, improve, and scale what’s already been designed by a very technical Head of DevOps. This is not an architect or manager role, this is proper platform engineering. What you’ll be working on -Day‑to‑day ownership of a multi‑account AWS environment -Working with ECS, ECR, VPC, Transit Gateway, IAM, Secrets Manager, NLB/ALB -Supporting a self‑hosted ELK stack on ECS (Elasticsearch, Logstash, Kibana, Beats) -Managing log pipelines, cross‑account shipping & auto‑scaling -Enhancing a live data workflow: Aurora → S3 (Parquet) → Snowflake via AWS DMS -Making the platform more automated, more reliable & more scalable Who this role suits -Strong AWS engineer (not a manager, not an architect) -Loves solving deep technical problems -Happy owning big chunks of a platform -Confident with Terraform, Docker & automation -Comfortable with observability (CloudWatch, ELK, etc.) -Curious, proactive, and able to take initiative Why it’s a great opportunity -Everything is modern — no legacy anywhere -Platform already built — you focus on making it better -Work with a highly skilled, hands‑on Head of DevOps -Massive technical autonomy -Real impact in a small senior team If you want to work on real AWS platform engineering — and help scale a multi‑account, containerised, fully observable, data‑driven cloud environment — drop me a message.

Location • Remote, but requirement to meet up once a month for in-person collaboration day, • UK based About Akixi Akixi is a leading provider of SaaS analytics solutions for cloud-based communication platforms, helping service providers and enterprises gain actionable insights from their telephony and collaboration data. Our solutions span Microsoft Teams, Cisco BroadWorks, Webex Calling, and CRM integrations — delivering real-time and historical analytics that improve customer experience and business performance. We are expanding our platform to include advanced AI capabilities — voice and chat assistants, intelligent analytics, and predictive insights — and are seeking an AI Engineer to define and deliver this vision. Job Summary & Purpose Own and drive Akixi’s AI and ML strategy — from concept and architecture through hands-on prototyping and deployment — to embed intelligence into Akixi’s products and analytics platforms. As the AI Engineer, you will define and execute Akixi’s AI roadmap, combining leadership of architecture and engineering practice with hands-on development of prototypes and production features. You’ll partner with Product, Data, and Platform Engineering to design and integrate AI-driven capabilities such as voice/chatbots, natural-language analytics, and predictive models. This role balances strategic technical direction with hands-on implementation, ensuring Akixi’s AI initiatives deliver tangible business and customer outcomes. Key Responsibilities • Lead the definition and delivery of Akixi’s AI strategy and technology roadmap., • Architect scalable AI solutions integrated into Akixi’s SaaS analytics platform., • Prototype, develop, and integrate AI-driven components such as chatbots, voice assistants, ML models, and LLM-based analytics., • Apply prompt engineering and model-tuning techniques to optimize chatbot and LLM behaviour., • Conduct research, proof-of-concepts, and feasibility studies for emerging AI technologies., • Collaborate with Product Management to scope AI features and align them with business goals., • Partner with Data Engineering to operationalize models, manage training data, and implement monitoring and retraining pipelines., • Work closely with Development, DevOps, and QA teams to ensure smooth CI/CD integration and deployment of AI components., • Establish standards for AI code quality, ethics, and data governance., • Mentor engineers working on AI-related projects, fostering technical excellence and innovation., • Evaluate external AI vendors, tools, and frameworks for adoption or integration., • Stay ahead of developments in AI/ML, LLMs, and applied analytics, translating trends into practical opportunities for Akixi. Required Skills & Experience • 4+ years in software engineering, with at least 2+ years focused on AI/ML or data-driven product development., • Proven expertise in developing and integrating AI solutions such as chatbots, voicebots, ML models, or LLM-based analytics., • Strong proficiency in Python (preferred) and/or JavaScript/TypeScript., • Hands-on experience with AI frameworks (e.g. TensorFlow, PyTorch and/or LangChain) and LLM APIs (e.g. Azure OpenAI, OpenAI API, Anthropic and/or AWS Bedrock)., • Experience with Microsoft Bot Framework, Dialogflow, or similar conversational-AI platforms., • Deep understanding of prompt engineering and fine-tuning of large language models., • Strong grounding in ML concepts — supervised, unsupervised, and reinforcement learning., • Familiarity with cloud AI/ML services (e.g. Azure Cognitive Services, AWS SageMaker, and/or GCP Vertex AI)., • Experience deploying and monitoring AI workloads in CI/CD environments (e.g. Jenkins, Docker, Kubernetes, and/or AWS)., • Ability to design data pipelines, APIs, and microservice integrations supporting AI features., • Excellent problem-solving, communication, and cross-team collaboration skills., • Proven ability to lead technically while remaining hands-on in design and coding. Advantageous Skills & Experience • Experience with call/contact-centre analytics, Microsoft Teams Graph API, or telephony platforms (e.g. BroadWorks, Webex Calling)., • Knowledge of data governance, model ethics, and MLOps practices., • Exposure to data visualization and predictive analytics for customer-experience metrics., • Advanced degree in AI, ML, Data Science, or related discipline. Why Akixi At Akixi, you’ll play a pivotal role in transforming how businesses understand and act on communication data. You’ll define and deliver the intelligence layer of a platform used by thousands worldwide — in an environment that values innovation, experimentation, and technical depth. We offer a collaborative culture, hybrid flexibility, and the opportunity to lead meaningful, high-impact AI initiatives from vision to production.

Senior QA Engineer Location - UK South Becoming part of our team Own Quality. Enable Speed. Drive Better Engineering Practices. In the words of one of our senior clients recently… "Market Research has changed more in the last 3 years than the previous 40" We are looking for an experienced Senior QA Engineer to help strengthen quality across our products and platform while enabling faster and safer delivery. You will work within a Scrum team alongside developers, product owners and DevOps engineers, helping ensure quality is built into the development process rather than tested at the end. In our engineering model, developers own most automated testing, including unit, API, integration and performance tests. QA focuses on exploratory testing, risk analysis, end-to-end behaviour and ensuring the overall quality of our systems. This is a hands-on role for someone who enjoys working closely with developers and influencing how quality is approached within modern engineering teams. What you will be doing Working in a microservices-based .NET environment with CI/CD, you will help teams deliver software frequently and safely. Your responsibilities will include: • Working within Scrum teams to embed quality thinking early in the development lifecycle., • Supporting developers in building strong unit, API, integration and performance testing., • Promoting shift-left practices to detect issues earlier in development., • Performing exploratory, risk-based and end-to-end testing where automation alone is insufficient., • Identifying system risks, edge cases and integration issues early., • Contributing to improving test automation frameworks and CI/CD testing workflows., • Helping reduce flaky tests and improve confidence in automated pipelines., • Participating actively in refinement, planning and retrospectives, ensuring quality considerations are included. What success looks like Success in this role means teams are able to release software frequently and confidently, supported by reliable automation and strong engineering practices. You will help ensure that: • Developers take ownership of automated testing., • Defects are found early rather than late in the process., • QA effort focuses on risk and system behaviour, not repetitive manual testing., • Automated tests provide fast and trusted feedback in CI/CD pipelines. Quality discussions focus on risk, impact and outcomes, not simply test counts or pass rates. Technical background You should have experience working in Agile teams where quality is a shared engineering responsibility. We are particularly interested in candidates who understand shift-left testing and developer-led automation. Experience with the following is desirable: • Test automation in .NET / C# environments, • UI automation tools such as Selenium, • BDD frameworks such as Reqnroll, • Test frameworks such as NUnit, xUnit or MSTest, • API testing using REST, Postman or Swagger/OpenAPI, • CI/CD pipelines and automated testing workflows, • SQL and relational databases such as SQL Server or MySQL, • Cloud environments, ideally Microsoft Azure, • Microservices architectures Experience with Docker, contract testing, performance testing tools such as K6, or feature flag driven development would be beneficial. Collaboration and influence While this is not a people-management role, you will act as a senior quality voice within your team. You will: • Work closely with developers to improve testing practices., • Review and guide automated tests written by developers., • Share quality engineering practices with other QA engineers across teams. Why join us You’ll be joining a modern engineering environment built around CI/CD, microservices and cloud technologies, where quality is treated as an engineering responsibility rather than a final gate. This role offers the opportunity to work in teams where: • Developers actively participate in testing, • Automation is central to how we deliver software, • QA focuses on insight, risk and improving engineering practices If you enjoy working closely with developers, improving testing practices, and helping teams deliver high-quality software faster, this is a role where you can make a real impact.

Computer Vision Engineer — Autonomy (Remote) We build retrofit autonomy modules for existing UAV fleets operating in GPS-denied environments. This is real-world deployment, not research or simulation. Constrained hardware, degraded comms, systems that have to work first time. Kessari is moving from TRL 6 to TRL 8 with active partners. We need someone to own perception through to targeting, end-to-end. What you’ll do • Build and deploy real-time detection and tracking pipelines on edge hardware, • Take models from training through optimisation into field deployment, • Work on low-latency systems running on constrained GPUs (Jetson class), • Handle messy real-world data (aerial, oblique, thermal, small objects), • Ship systems that run at 30+ FPS in production, • Work in GPS-denied conditions where localisation and perception must hold up under uncertainty You’re a fit if you can • Train and deploy object detection models (YOLO, RT-DETR or similar), • Optimise models for real-time edge inference (TensorRT, ONNX or similar), • Implement multi-object tracking (ByteTrack, BoT-SORT or similar), • Own the data pipeline (collection, annotation, validation), • Work across Python and some C++, Linux, Docker, • Strong bonus, • Experience in GPS-denied navigation or perception systems, • Drone or aerial imagery experience, • Thermal or infrared perception, • Visual SLAM or odometry integration, • CUDA or GPU optimisation, • Synthetic data or simulation What matters This is not a research role. You need to ship fast, handle ambiguity, and make systems work in the field. Comp €90k – €140k+ depending on level Equity and performance upside tied to deployments • DM directly to apply

Contract Machine Learning Engineer Duration: Initially 3 months Day rate: £500, Inside IR35 Workplace: Remote, with occasional travel to client-site Inara are supporting a consultancy-led team delivering production-grade machine learning platforms for a range of end clients, and they’re looking for a senior, hands-on Contract ML Engineer to help take ML systems from experimentation into reliable, scalable production. This role is firmly focused on ML enablement and platform engineering rather than model research. You’ll be the person ensuring models can be trained, tracked, deployed, governed, and monitored properly in real-world environments. What you’ll be doing • Designing and building end-to-end MLOps platforms that support the full ML lifecycle, • Implementing and operating MLflow for experiment tracking, model registry, and versioning, • Enabling production deployments of ML models (batch and/or real-time), • Putting robust CI/CD pipelines in place for ML workflows, • Partnering closely with Data Scientists to move models from notebooks into production, • Establishing best practices around model governance, monitoring, retraining, and environments, • Integrating ML platforms with Databricks and cloud-native services What we’re looking for • Strong, real-world MLOps experience (this is not a theoretical role), • Deep hands-on MLflow experience — this is essential, • Proven track record of productionising ML models across multiple client or project environments, • Background in one or more of:, • MLOps / ML Engineering, • DevOps with ML platforms, • Data Science with a strong production focus, • Experience designing, supporting, and operating ML systems in production Technical environment (experience expected across most of these) • Python (expert-level), • Databricks, • Cloud platforms (AWS preferred; SageMaker exposure a bonus), • CI/CD for ML workloads, • Docker and Kubernetes, • Infrastructure as Code (Terraform or similar)

SII OVERVIEW: SII Group delivers Digital Services, IT, Engineering, and Consulting to diverse industries, enabling digital transformation through our commitment to Growth, People, and CSR. With over 16,000 professionals across 21 countries, we’re recognised as a “Great Place to Work” for fostering a high-trust culture. Our core values of Trust, Transparency, and Quality drive our work package delivery, ensuring we meet and exceed client expectations as a committed partner. Since 2016, SII UK has supported top Aerospace & Defence, Aviation, Transportation, and Finance clients, empowering digital transformation with industry-leading engineering expertise. Let’s Tech Together is our promise to encourage innovation and teamwork. We support our engineers with development opportunities and a collaborative, inclusive environment where every voice is valued and empowered. #Let'sTechTogether THE OPPORTUNITY We are seeking a Software Integration & Verification Engineer to provide support for core software components within a complex, distributed system. You will work closely with software engineers to integrate, deploy, and verify sophisticated software solutions in a Linux-based environment. This role requires strong hands-on experience with Linux, containerisation, and virtualisation, along with the ability to write and execute verification plans and scripts. KEY RESPONSIBILITIES: • Provide SWIVV support for core software components, • Integrate complex software into distributed systems, • Deploy, configure, and debug software on Linux targets, • Write, execute, and maintain verification plans, procedures, and scripts, • Support containerised deployments using Docker, Podman, and Kubernetes, • Contribute to software builds, CI/CD pipelines, and configuration management, • Work collaboratively across engineering, integration, and project teams, • Produce clear and accurate technical documentation, • Support risk management, reporting, and delivery activities ESSENTIAL SKILLS & EXPERIENCE: • Experience with Linux operating systems, infrastructure, and scripting (Bash, Shell, Python), • Strong understanding of containerisation and virtualisation, • Experience integrating software within large or distributed systems, • Working knowledge of C/C++ and Java (Python desirable), • Understanding of software architectures and TCP/IP networking Experience with: • Software integration and system-level testing, • Unit and wider software testing, • CI/CD and build tools (e.g. Jenkins, Git), • Configuration management (e.g. Bitbucket, Artifactory) DESIRABLE SKILLS: • Defence sector experience, • UML-based design awareness, • Kubernetes and CNCF ecosystem knowledge, • Model-driven development or MATLAB/Simulink, • Software assurance, static analysis, and SBOM tooling, • DevOps or Infrastructure as Code (e.g. Ansible), • Automated testing and CI/CD optimisation, • Cyber security awareness and Linux hardening BENEFITS: • Competitive Basic Salary, • 6% Employers Contribution + 6% as a salary sacrifice, • Private Medical Insurance, Life Cover and Income Protection, • 25 days holiday, • 10 days full sick pay per year, • Flexible working, • Cycle to Work & TechScheme, • Continuous professional development, • Corporate access to the Udemy platform, • If you're applying for a role requiring security clearance, please be aware that foreign or dual nationality is not an automatic bar, however certain posts may have restrictions which could affect those who do not have sole British nationality or who have personal connections with certain countries outside the UK.

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 team to meet that demand. The Role We’re looking for a Senior AI Engineer (FinLLM / NLP) to help drive the next generation of AI systems powering financial services. This role focuses on developing, fine-tuning and deploying advanced language models that operate at production scale within highly regulated environments. You’ll work alongside our NLP team, software engineers, and product leaders to build cutting-edge solutions that transform how financial organisations use AI. This is a hands-on role where you’ll shape both the technical direction and practical deployment of large language models and NLP systems within our platform. What You’ll Do • Build and optimise LLM-powered systems, • Architect, fine-tune and optimise machine learning models including LLMs and classical ML approaches, • Experiment with modern architectures such as Transformers and Mixture-of-Experts, • Apply efficient training and fine-tuning techniques including LoRA and parameter-efficient methods, • Develop robust evaluation approaches to measure model quality and reliability, • Develop scalable AI systems, • Build and deploy production-grade NLP pipelines and services, • Ensure models operate efficiently with low latency and high availability, • Integrate models into scalable cloud infrastructure and real-world applications, • Data strategy and model training, • Lead the acquisition, processing and governance of large structured and unstructured datasets, • Apply exploratory data analysis and validation techniques to improve training pipelines, • Ensure data privacy and governance standards suitable for financial services, • Engineering best practices, • Contribute to DevOps and MLOps pipelines, • Implement robust version control, testing and CI/CD workflows, • Support reliable deployment and monitoring of models in production environments, • Technical leadership, • Mentor engineers and contribute to the technical growth of the team, • Work closely with product, engineering and data teams to deliver AI solutions, • Stay at the forefront of AI and NLP research, applying new approaches where they add value What We’re Looking For Essential experience • Significant experience building, training and deploying machine learning models, • Strong Python skills with experience using NumPy, Pandas, SciPy and modern ML frameworks such as PyTorch or TensorFlow, • Experience working with large-scale unstructured data, • Experience building and deploying production-ready NLP systems, • Familiarity with API integrations and data acquisition pipelines, • Experience implementing software engineering best practices including Git and agile development, • Experience working with cloud environments (preferably AWS) Nice to have • Experience with containerisation technologies such as Docker or Kubernetes, • Experience with frameworks such as vLLM or NeMo, • Knowledge of financial services NLP applications, • Experience designing evaluation methodologies for LLM outputs, • Experience building intelligent agents or multi-agent systems, • Skills and mindset, • Strong analytical problem-solving skills, • Ability to design scalable, production-ready AI systems, • Clear communication with both technical and non-technical stakeholders, • Passion for AI innovation and continuous learning, • Leadership and mentoring capability Qualifications • MSc or equivalent experience in a relevant field such as AI, Machine Learning, Computer Science, or Data Science Join Us in Making a Difference At Aveni, we believe that diversity drives innovation. We’ve built our business to ensure an inclusive workplace where everyone feels valued and empowered to contribute their best work. If you’re passionate about technology and its ability to drive positive change for the future of financial services, we’d love to hear from you. Even if you don’t meet 100% of requirements, we’d like to hear from you anyway if you believe you’d fit in. Apply now to join us on our mission to transform the financial services industry through AI. Benefits at Aveni What you’ll love: • Remote-first working across the UK, • Work abroad policy, • Co-working spaces available, • 34 days holiday (including flexible bank holidays) and your birthday off, • Company-wide off-sites, • Optional Personal Development Plan, • Flexible benefits platform, • Protection essentials including Life Insurance, Income Protection, Critical Illness cover, and Pension (up to 5% matched employer contribution with optional increased contributions), • Private health and dental care, • Potential share options, • Enhanced family leave

Software Engineer Salary: circa £50k Location: Remote (UK-based with occasional team meetings) The Opportunity: Engineering for National Security Our client’s mission is to build and deliver secure, scalable collaboration solutions for the most security-conscious organisations in the UK. This is an environment where you can transform your individual talents into strengths within a creative, innovation-driven culture. Why This Role is Different This is not a place for rigid process followers. Our client actively embraces AI-augmented development, leveraging groundbreaking tools like Claude Code, GitHub Copilot, and Cursor to amplify engineering capabilities. You will be encouraged to use these tools effectively while maintaining strong engineering fundamentals and critical thinking. What You Will Be Doing • Design and Develop: Architect reliable and secure software systems using modern technologies like TypeScript, React, Next.js, Python, or Java., • Innovate with AI: Experiment with and evaluate new AI-powered development tools and practices, sharing those learnings with the wider team., • Collaborate Remotely: Engage with a distributed team through video, chat, and asynchronous documentation, valuing clarity and honesty in communication., • End-to-End Ownership: Take responsibility for software systems from initial conception and MVP through to live operation and decommissioning. What We Are Looking For • Technical Breadth: Experience with cloud platforms (AWS or GCP preferred) and containerisation tools such as Docker or Kubernetes., • Security Mindset: A security-conscious approach with an understanding of secure coding practices and how decisions impact security posture., • Professional Standards: A well-formatted CV that demonstrates your attention to detail and a career history focused on the IT sector., • Clearance Requirements: You must hold a British passport. While previous SC or DV clearance is a significant advantage, we simply need you to be clearable. Benefits and Culture • Flexible Working: A remote-first culture that has been distributed from the start, supporting different communication and collaboration preferences., • Continuous Learning: Dedicated time for experimentation, structured learning, and mentorship to help you master new approaches and technologies., • Inclusive Environment: A commitment to diverse thinking styles, offering reasonable accommodations throughout the application and employment process. If you’re a Software Engineer looking to do work with real impact, we’d love to tell you more. Click apply or reach out to for more information.

Senior Software Engineer – Fit-Tech SaaS | Up to £80,000 | UK Remote AWS Cloud | TypeScript | React | Serverless Architecture | HealthTech Recann is partnering with an innovative SaaS organisation in the health and wellness sector that is building a next-generation digital platform to support practitioners and clients across the UK and internationally. Backed by an experienced leadership team with a strong track record of scaling technology businesses, the company is investing heavily in modern cloud infrastructure and engineering practices to support rapid growth. This is an exciting opportunity for a Senior Software Engineer to join a growing engineering team and play a key role in designing, building and scaling a modern cloud-native platform. The role offers the opportunity to work across the full technology stack, contributing to architecture decisions, developing scalable services, and helping shape engineering best practices within a collaborative team. The Role As a Senior Software Engineer, you will work closely with engineering leadership and product teams to build and evolve a scalable SaaS platform supporting international growth. You will contribute to backend services, APIs, and frontend components while helping ensure the platform remains reliable, secure and performant as usage grows. The team embraces modern development tooling and AI-assisted engineering workflows to accelerate development and maintain high quality standards. Key Responsibilities • Design, build and maintain scalable backend services and APIs using TypeScript and modern Node.js frameworks., • Contribute to the development of cloud-native infrastructure on AWS, using services such as Lambda, DynamoDB, EventBridge, ECS and Fargate., • Develop user-facing features using modern frontend frameworks such as React., • Build and maintain integrations with external services including payment platforms such as Stripe and other third-party APIs., • Work with event-driven architectures to build reliable and scalable distributed systems., • Support international platform capabilities including localisation, multi-region deployments and scalable payment processing., • Contribute to CI/CD pipelines using GitHub Actions, ensuring reliable automated testing and deployment processes., • Maintain high standards of code quality using tools such as SonarCloud, automated testing and code reviews., • Implement infrastructure-as-code practices using AWS CDK to ensure repeatable and maintainable cloud deployments., • Monitor system performance and reliability using observability tools such as AWS CloudWatch and distributed tracing solutions., • Collaborate with engineers, product managers and designers to deliver high-quality product features. About You • Strong commercial experience building modern applications using TypeScript and JavaScript frameworks., • Experience working with AWS cloud services and cloud-native application architectures., • Experience developing RESTful APIs and scalable backend systems., • Familiarity with event-driven architecture and distributed systems., • Experience working with CI/CD pipelines and automated testing frameworks., • Knowledge of infrastructure-as-code tools such as AWS CDK or Terraform., • Experience integrating with third-party APIs and services., • Strong problem-solving ability and a collaborative approach to engineering. Desirable Experience • Experience working with React or modern frontend frameworks., • Experience integrating payment systems such as Stripe., • Familiarity with containerisation technologies such as Docker and AWS ECS., • Experience building SaaS platforms supporting international users., • Experience using AI-assisted development tools such as GitHub Copilot or ChatGPT. What’s on Offer • Salary up to £80,000 per annum, depending on skills and experience., • Fully remote working within the UK with occasional in-person meetups in London., • Opportunity to work on a modern cloud-native platform supporting rapid international growth., • Access to health and wellness services., • Vitality Health insurance., • Perkbox benefits platform., • Wellness credits and practitioner services., • 25 days annual leave, increasing by one day per year of service up to 30 days., • Additional birthday leave. Important Information • This vacancy is advertised by Recann, acting as an employment agency on behalf of its client., • The identity of the hiring organisation will be disclosed during the recruitment process., • Recann does not charge work seekers any fees for its recruitment services., • Candidate data will be processed in accordance with UK data protection legislation., • Further role information, including duties, reporting line, and working arrangements, will be provided prior to formal candidate submission.

Location • Remote, but requirement to meet up once a month for in-person collaboration day, • UK based About Akixi Akixi is a fast-growing SaaS analytics company delivering real-time and historical insights for cloud-based communication platforms, including Microsoft Teams, Cisco BroadWorks, and Webex Calling. Our analytics help businesses enhance customer experience, optimize productivity, and drive performance across voice and collaboration channels. Job Summary We are seeking a Senior Platform Engineer with a deep understanding of AWS cloud infrastructure, Infrastructure-as-Code (IaC) tooling such as Terraform, and configuration management using Ansible. The ideal candidate will be a self-starter, passionate about Site Reliability Engineering (SRE) principles, and thrive in collaborative environments. You will play a pivotal role in automating infrastructure, improving reliability and scalability, and ensuring smooth CI/CD pipelines across multiple environments. You'll work closely with software engineering, and security teams to drive platform excellence. Key Responsibilities • Design, build, and manage scalable, secure, and resilient infrastructure on AWS using Terraform (modularized, reusable components)., • Implement configuration management solutions using Ansible, including playbook development, inventory structuring, and role-based automation., • Manage secrets securely using services such as AWS Secrets Manager or HashiCorp Vault., • Implement robust monitoring, alerting, and observability tooling (e.g., CloudWatch, Prometheus, Grafana, Datadog)., • Participate in incident response, root cause analysis, and resilience improvements., • Maintain and evolve CI/CD pipelines using tools such as GitHub Actions, Bitbucket Pipelines, or Jenkins., • Automate deployments for container-based workloads on ECS (Fargate), or Lambda, and manage supporting infrastructure., • Collaborate with development teams to optimize build/deploy cycles and reduce lead time for changes., • Ensure security best practices are embedded into infrastructure provisioning and pipeline execution., • Support compliance and auditing by implementing guardrails and controls as code (e.g., AWS Config, SCPs, IAM policy management)., • Some OOH work is required to maintain the production systems and also will be part of OOH critical ticket rota. Required Skills & Experience • 5+ years in DevOps, SRE, or Cloud Engineering roles., • Expertise in AWS core services: EC2, IAM, VPC, ECS/Fargate, CloudFormation, CloudWatch, RDS, DynamoDB, S3, Lambda., • Strong proficiency in Terraform (HCL) – including workspaces, modules, and Terraform Cloud or similar., • Ansible experience – developing roles, dynamic inventories, managing remote configurations., • Strong scripting knowledge (Bash, Python, or Go)., • Experience with container orchestration and deployment (Docker, ECS, or Kubernetes)., • Proficient with GitOps or IaC-based workflows., • Familiarity with Google SRE practices, particularly around reliability, observability, and operational excellence., • Understanding of systems reliability metrics and associated tooling Soft Skills & Behaviours • Self-driven with a bias toward action and ownership., • Excellent communicator, able to collaborate across disciplines and levels of technical understanding., • Experience working as part of a cross-functional team., • Comfortable working in agile environments (Scrum/Kanban).

Full-time | Remote with trips to Silicon Valley office | Reports to Founders Introduction: • Join us at Fastino as we build the next generation of LLMs. Our team, boasting alumni from Google Research, Apple, Stanford, and Cambridge is on a mission to develop specialized, efficient AI., • Fastino's GLiNER family of open source models has been downloaded more than 5 million times and is used by companies such as NVIDIA, Meta, and Airbnb, • Fastino has raised $25M (as featured in TechCrunch) through our seed round and is backed by leading investors including Microsoft, Khosla Ventures, Insight Partners, Github CEO Thomas Dohmke, Docker CEO Scott Johnston, and others. What You’ll Work On: • Experiment with novel language model architectures, helping drive and execute Fastino's research roadmap, • Optimize Fastino’s multimodal models to improve response quality, instruction adherence, and overall performance metrics, • Architect data processing pipelines, implementing filtering, balancing, and captioning systems to ensure training data quality across diverse content categories, • Implement reinforcement learning techniques including Direct Preference Optimization and Generalized Reward Preference Optimization to align model outputs with human preferences and quality standards, • Build robust and real-world motivated evaluations, • Partner with Fastino engineering team to ship model updates directly to customers, • Establish best practices for code health and documentation on the team, to facilitate collaboration and reliable development What We’re Looking For: • Required - Great velocity for building and shipping agents / AI products., • Optional - Advanced degree (Master's or PhD) in Computer Science, Artificial Intelligence, Machine Learning, or related technical discipline with concentrated study in deep learning and computer vision methodologies, • Optional - Demonstrated ability to do independent research in Academic or Industry settings, • Optional - Substantial industry experience in large-scale deep learning model training, with demonstrated expertise in at least one of Large Language Models, Vision-Language Models, Diffusion Models, or comparable generative AI architectures, • Optional - Comprehensive technical proficiency and practical experience with leading deep learning frameworks, including advanced competency in one of PyTorch, JAX, TensorFlow, or equivalent platforms for model development and optimization

Team: Backend Location: UK Remote Employment Type: Full-time and Permanent Remuneration (UK – Remote): £81–108k Base Salary + Discretionary Bonus + Equity Zettafleet is an end-to-end platform for businesses and organisations to train their own LLM on their proprietary data. We can use non-conventional AI hardware and automatically source and combine GPUs (and other types of AI accelerators) from multiple cloud providers, enabling users to optimise for cost, duration or geographic location of the training. The founding team consists of Cambridge graduates and former engineers at Google, Meta, Bloomberg, Microsoft and Amazon. We are backed by prominent investors from the US and the UK, including institutional VC funds and C-level executives of global technology companies. The role involves the design and development of backend services and infrastructure for Machine Learning workloads. You will be working closely with the Machine Learning team; however, you are not required or expected to have background in Machine Learning. This is an applied role, and we are looking to hire a software engineer with experience in cloud computing and distributed systems. In this role, you will: • Design and develop highly-scalable, fault tolerant and event driven systems that directly power our core products., • Lead projects from inception to launch and beyond, having a high degree of autonomy and ownership over your work., • Work closely with the founding team and contribute towards best practices, standards, and culture of the company., • Mentor colleagues and lead by example, raising the bar for the whole company., • Help hire future colleagues and shape the team you want to work with. Our tech stack: • We use and leverage AWS as much as possible and manage it with Terraform., • Services are written in C# (.NET 10) and deployed to ECS or Lambda via GitHub Actions., • We use Postgres, SNS/SQS and Redis., • We have good end-to-end test coverage and are confident in our deployments. What we are looking for: • Back-end development: 5+ years of industry experience building reliable and scalable back-end systems with an object-oriented language., • Cloud-native technologies: Experience in architecting and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker), infrastructure-as-code software (e.g., Terraform), and observability platforms (e.g., Datadog or Grafana)., • Strong ownership mindset: You naturally take responsibility for outcomes, not just tasks, and care deeply about the quality of what you ship., • Product-oriented thinking: You think beyond implementation details, proactively suggesting improvements that balance customer value with business impact., • Leadership: A track record of leading complex projects and influencing technical direction., • Problem solving: Strong analytical problem-solving skills and attention to detail. You have the ability to break down complex projects into actionable tasks., • Collaboration and communication: Excellent interpersonal and communication skills, with technical and non-technical stakeholders. Nice to have: • Machine Learning: Experience in generative models, LLMs, multi-modal models and Deep Learning more generally., • Open-source: Contributions to and experience in open-source projects., • Startup experience: Experience in an early-stage startup environment. How we work: • We are a small, early-stage team with big ambitions. We move quickly, care deeply about what we build, and take pride in doing things well., • This is a high-ownership environment where people who are proactive, curious, and motivated by impact tend to thrive. Why join us? • Work in an environment conducting cutting-edge research in AI., • Competitive salary, equity and benefits package., • 28 days + public holidays allowance., • Opportunities for professional growth and progression with your career., • Work on challenging engineering problems that have a real impact on the industry., • Work with high-profile customers and technology partners.

The Role’s Purpose and Value: The Vice President / Senior Vice President of Software Engineering is responsible for defining, leading, and owning the engineering organisation that delivers Talogy’s product portfolio. This strategic role requires a leader who can build strong relationships across the organisation, collaborate effectively with senior stakeholders, and translate business priorities into a clear, scalable engineering strategy. The VP/SVP will shape Talogy’s engineering direction, partnering closely with the CTPO and business unit leads to identify, assess, and prioritise product initiatives. They will support sales and account management teams in client acquisition, retention, and growth by ensuring our technology capabilities meet evolving market needs. A key part of the role is leading and empowering the engineering organisation—ensuring teams are equipped, aligned, and enabled to deliver against the product roadmap. This role also plays a critical part in advancing Talogy’s use of AI, both in enhancing engineering productivity and in exploring how AI-driven capabilities can be responsibly incorporated into our products. This is a full-time, permanent position based in the UK or US, with flexible hours around core weekday availability. The role reports to Talogy’s Chief Technology & Product Officer (CTPO) and can be performed remotely, with occasional international travel for meetings, events, and workshops. Core Skills and Responsibilities: Technical Authority & Architecture Ownership: • Serve as the definitive technical decision-maker for Talogy’s engineering organisation — owning architectural direction, resolving technical trade-offs, and setting the standards by which all engineering work is evaluated., • Lead the Architectural Review Board with authority: evaluate and challenge architectural proposals, enforce consistency and scalability standards across all products, and ensure technical debt is actively managed and quantified., • Define and govern Talogy’s cloud infrastructure strategy (AWS, Azure, or GCP), including multi-tenant architecture, data isolation, platform reliability, and disaster recovery posture., • Own Talogy’s security engineering posture — including application security, secrets management, vulnerability management programmes, and compliance with SOC 2, GDPR, and relevant data protection frameworks., • Drive platform and integration architecture decisions across Talogy’s fragmented, acquisition-heavy tooling estate, bringing coherence to a complex multi-system environment., • Evaluate build vs. buy decisions with rigour — producing structured analysis on make-or-buy trade-offs, vendor selection, and technical partner assessments. AI Strategy & Enablement: • Define and lead Talogy’s AI engineering strategy — spanning both the use of AI to accelerate engineering productivity and the responsible integration of AI capabilities into Talogy’s products and assessments., • Establish a practical AI adoption roadmap: evaluate LLM/ML tooling, agentic frameworks, and AI-assisted development platforms; pilot responsibly; scale what works., • Ensure AI product features meet the ethical, legal, and regulatory expectations of an IO psychology and talent management context — including fairness, bias evaluation, explainability, and data governance., • Keep Talogy’s engineering teams ahead of the curve on applied AI — from code generation and test automation to AI-native product features and assessment intelligence. Team Leadership & Talent Development: • Lead, develop, and scale a geographically distributed engineering organisation spanning the US, UK, India, and other locations — setting a high bar for technical craft, delivery discipline, and team culture., • Recruit, retain, and grow senior engineering talent; lead a hiring bar that reflects the technical ambition of the organisation and establish career ladders that differentiate individual contributors from engineering managers., • Own engineering performance management end-to-end — establishing clear engineering metrics (deployment frequency, MTTR, lead time, reliability SLAs) and using them to drive accountability and improvement., • Create a culture of engineering excellence: code review rigour, documentation standards, testing philosophy, incident response maturity, and continuous learning., • Serve as the senior escalation point for major technical incidents — leading post-mortems, driving systemic remediation, and communicating clearly to the CTPO and wider leadership. Cross-Functional Collaboration: • Work in close partnership with the CTPO to operationalise the technology roadmap — owning engineering execution against strategic priorities and ensuring delivery keeps pace with product ambition., • Build trusted relationships with product, R&D, sales, and customer success leaders — ensuring technology is a competitive enabler and that engineering priorities are well understood across the business., • Communicate effectively with senior leaders to align on strategic priorities, resource needs, and long-term technology investments., • Build strong relationships with key stakeholders to deepen understanding of Talogy’s business, product visions, and customer needs. Execution & Delivery Excellence: • Oversee and continuously improve Talogy’s software delivery engine — including CI/CD pipelines, release management, deployment practices, observability, and incident management., • Champion Agile and DevSecOps practices across teams, ensuring engineering processes are lean, high-trust, and calibrated to the pace of the business., • Drive measurable improvement across DORA metrics and reliability targets; hold teams accountable to uptime SLAs and clear SLO definitions for all customer-facing products., • Identify and systematically eliminate engineering bottlenecks — from dependency bloat and test coverage gaps to deployment friction and inefficient on-call rotations., • Ensure development and deployment practices follow established standards and support reliable, secure, and scalable product delivery. Strategic Planning & Governance: • Co-develop the annual engineering budget and multi-year technology investment plan with the CTPO — translating engineering needs into financial terms that resonate with senior leadership., • Contribute to M&A technical due diligence: evaluate engineering organisations, technical debt, and platform compatibility as Talogy continues to grow through acquisition., • Create alignment between Talogy’s product vision, engineering strategy, and R&D initiatives., • Share ideas and foster knowledge exchange across development teams, creating opportunities for collaboration and innovation. Technical Expertise — Non-Negotiable: • 15+ years of software engineering experience, with at least 5 years in senior engineering leadership (Director, VP, or equivalent) at a B2B SaaS or enterprise software company., • Deep, hands-on background in backend systems, distributed architectures, and cloud-native platforms — able to credibly review design documents, challenge engineers on technical choices, and identify architectural risk., • Demonstrated proficiency in modern programming languages and frameworks (e.g., Python, Java, C#, Node.js, Go) — not expected to write production code daily, but must be technically fluent enough to evaluate quality, complexity, and risk., • Strong command of cloud infrastructure (AWS, Azure, or GCP) — including compute, storage, networking, identity, observability tooling, and cost management., • Proven experience owning CI/CD, DevSecOps, and modern delivery practices at scale — including IaC, containerisation (Docker/Kubernetes), blue-green or canary deployments, and automated quality gates., • Hands-on experience with data architecture, APIs, and integration patterns — particularly relevant given Talogy’s multi-platform, acquisition-heavy environment., • Direct experience with security engineering: application security frameworks (OWASP), secrets management, penetration testing programmes, and compliance regimes (SOC 2, GDPR, ISO 27001). Leadership & Organisational Experience: • Significant experience in a senior engineering leadership role within an enterprise-scale cloud environment., • Demonstrated success building and scaling engineering organisations across multiple geographies and time zones, including managing offshore development teams and third-party engineering partners., • Experience leading engineering through significant organisational complexity — M&A integration, platform consolidation, or rapid headcount scaling., • Track record of attracting and retaining exceptional senior engineering talent; strong communication skills, with the ability to translate complex technical concepts for senior leadership and cross-functional stakeholders. AI & Emerging Technology Experience: • Practical, hands-on experience with AI/ML integration in production software products — including LLM APIs, vector databases, retrieval-augmented generation, or ML model pipelines., • Familiarity with integrating AI or machine-learning capabilities into software products, including an understanding of responsible AI principles, data considerations, and ethical implications., • Ability to cut through AI hype: evaluate vendor claims critically, identify where AI creates genuine value, and make pragmatic adoption decisions. Operational Excellence & Strategic Execution: • Demonstrated ability to use metrics and data to drive decision-making, operational improvements, and measurable outcomes., • Experience creating and executing comprehensive action plans that support organisational growth, technical maturity, and delivery excellence., • Background in B2B SaaS companies serving enterprise clients, particularly those with complex compliance, data residency, or security requirements., • Prior involvement in technical due diligence or post-merger engineering integration in a PE-backed, acquisitive environment is a strong differentiator.

Job Title: Principal DevOps Engineer II Industry: FinTech / Payments Technology Location: United Kingdom (Fully Remote) Salary: Up to £125,000 base + 9% bonus Type: Permanent, Full-time A rapidly growing global payments technology organisation is looking for a Principal DevOps Engineer II to help define and scale its enterprise DevOps platform. This is a senior technical leadership role focused on architecting and evolving the engineering delivery platform that supports both cloud and on-premise environments. You’ll work closely with engineering leadership, security teams, and developers to design scalable CI/CD architecture, improve developer experience, and implement platform standards across the organisation. This role offers the opportunity to make a significant impact by driving automation, improving delivery performance, and shaping DevOps culture across a modern engineering environment. The Role: • Define and own the architecture of the organisation’s engineering delivery platform, covering CI/CD pipelines, artifact management, secrets management, and infrastructure provisioning., • Lead the migration and implementation of GitHub Enterprise and GitHub Actions, building reusable workflow frameworks and enforcing automated security and quality gates., • Architect and manage secrets and credential management strategies using HashiCorp Vault., • Develop and manage artifact repository strategies, including promotion pipelines, vulnerability scanning integration, and multi-language ecosystem support., • Drive Infrastructure as Code adoption using Terraform and configuration management through Ansible to enable fully automated environments., • Establish containerisation standards using Docker and Docker Compose to support consistent development and production environments., • Manage Cloudflare infrastructure including DNS lifecycle automation, WAF rules, and Zero Trust access policies., • Improve developer experience by building standardised pipeline frameworks that accelerate service delivery and reduce time-to-production., • Champion self-service and inner-source practices, creating shared tooling, documentation, and pipeline libraries for engineering teams., • Implement delivery metrics and dashboards to monitor deployment frequency, lead time for changes, and platform performance., • Provide technical leadership across engineering teams, identifying systemic delivery challenges and implementing scalable solutions., • Mentor senior engineers and contribute to raising DevOps standards through technical design reviews, documentation, and knowledge sharing. Skills Needed: • 12+ years of hands-on technical experience with strong foundations in software engineering and DevOps practices., • Proven experience delivering organisation-wide platform initiatives such as CI/CD architecture redesigns or DevOps platform migrations., • Strong coding ability in a statically typed language such as C# or Java., • Expert experience with GitHub and GitHub Actions including reusable workflows and automated pipeline frameworks., • Advanced Terraform expertise including module design, remote state management, and infrastructure policy enforcement., • Strong experience with configuration management tools such as Ansible., • Strong experience with HashiCorp Vault for secrets management and security integration., • Deep containerisation expertise using Docker and modern image optimisation practices., • Experience managing artifact repositories and CI/CD integration across multiple programming ecosystems., • Experience delivering infrastructure across cloud platforms (AWS, Azure, GCP, or Oracle Cloud) and on-premise environments., • Strong understanding of DevOps security practices including SAST, dependency scanning, container security, and supply chain security., • Excellent communication and technical leadership skills. Benefits • Fully remote working (UK-based), • 5 days paid holiday plus bank holidays, • £5,000 annual certification and professional development budget, • £60 per month work-from-home allowance, • Private healthcare, • Additional benefits and performance-based incentives Research indicates that men will apply to a role when they meet only 50–60% of the requirements, while women and other underrepresented groups often look for a 90–100% match. If this role excites you but you don’t tick every single box, please still apply. We’d love to hear from you.

You'll be a senior developer on our in-house travel management platform, working across the full stack — from React frontends to Node.js APIs and background processing services that handle live travel data. The platform spans Linux and Windows environments, including containerised services running on Docker. The role involves real-time problem diagnosis, complex data transformation across multiple databases, and a high degree of autonomy. You'll be expected to own technical decisions, independently investigate and resolve issues across the entire stack, and operate as a trusted point of escalation when things go wrong. This is a hands-on technical role with genuine responsibility. About Us: CTM is an award-winning provider of innovative and cost-effective travel management solutions to the corporate market. Our proven business strategy combines personalized service excellence with client-facing technology solutions to deliver a return on investment to our customers. Headquartered in Australia, we provide local services solutions to clients across the globe. Key Responsibilities: • Build and maintain features across React frontends and Node.js/NestJS APIs, • Develop and support background processing services that ingest and transform travel data from external systems, • Write and optimise complex SQL across PostgreSQL and MS SQL Server databases, • Investigate and resolve production issues end-to-end — from browser through API to database and background processors, • Drive forward platform modernisation initiatives as they are prioritised Skills & Experience : • 3+ years commercial experience with Node.js and TypeScript, • Strong SQL skills — complex queries, relational schemas, multi-database environments (PostgreSQL and/or MS SQL Server), • React (hooks, functional components), • Experience transforming and mapping complex data structures (XML, JSON), • Git — confident with branching, conflict resolution, • Familiarity with NestJS, tRPC, or similar API frameworks is a strong plus, • Experience with background processing patterns (queues, cron jobs, webhooks) is highly valued Join our crew and help CTM take flight. Apply now and pack your skills for a business travel journey that promises growth, discovery and plenty of first-class moments. What to expect from the recruitment process : • Every hire starts with a chat with our Talent Acquisition team, if your profile is selected you will be contacted by phone or email (please check your spam folder);, • Then, if you are progressing, the hiring manager will invite you to an interview, usually on Teams;, • If you are successful we will invite you to our office for a final stage interview. Wherever possible we will provide you with feedback, however we are a small team and often we won't be able to do so until after we fill the vacancy. CTM is a responsible employer and is dedicated to conduct thorough right to work checks in the interests of both parties, candidates and the company. Candidates selected and invited to an interview will be invited to a mandatory 15 min call with the TA lead to produce their RTW documents. This call is a mandatory step for all candidates regardless of their RTW status. This call is confidential and conducted by HR professionals only. CTM is an equal opportunity employer. We want to make sure our entire recruitment process is accessible to everyone. If you need accommodations at any stage of the application or interview process, please let us know: as a Disability Confident Employer, we’re here to support you in any way we can. Do not hesitate to connect with our Recruitment team if you need to discuss arrangements. Reward & Recognition Our learning platform CTM Learning, our annual conference the All Stars, our High-Performance programme and a global leadership programme. Employee Wellbeing and Flexibility Our wellbeing platform Vitality, our Employee Assistance Programme (EAP), our new private healthcare Medicash + our mental health first aiders. Most of our roles offer a hybrid working pattern, with 3 days per week in the office. Where permitted and depending on the role, we can offer flexible start and finish times to suit your other commitments and support a healthy work-life balance. We are committed to finding a setup that works for you and the business. Sustainability Focus Principles of Governance, People, Planet, and Prosperity, CTM’s Sustainability Strategy identifies material issues and outlines initiatives to achieve this. CTM is the Data Controller with respect to the personal information you provide during your application. We will use this information solely to process your application, and our legal basis is that you are considering taking up an employment contract with us. We may share this information with our parent company in Australia, but otherwise we will not disclose it to any other organisation. If you take up employment with us, we will keep the information for the duration of your employment, otherwise we will destroy it 2 months after the post is filled. All the information that we ask for in application forms has to be completed for your application to go ahead. There is no profiling or automated decision making applied to the personal information you supply. You have all the legal rights with your personal data as laid out in the General Data Processing Regulation (GDPR) and the Data Protection Act 2018, including the right to complain to the Information Commissioner’s Office. Our Data Protection Officer may be contacted at Please note that this role requires a security clearance process (you must have lived in the UK for 5 consecutive years to be eligible) and a DBS check. Do not apply if you are not willing to undergo these conditional background checks, this continually applies during the course of your employment. You can read about SC on the government site - ___

PHP Developer (Laravel) | North Manchester (Hybrid - onsite initially) £45,000 - £50,000 We're working with a long-established, financially backed business going through a period of modernisation across their product and engineering teams. As part of that, they're looking to bring in a PHP Developer to support and improve their core platform with a real focus on cleaning up, modernising, and moving things forward. The Opportunity You'll be working across a core platform built in PHP (Laravel) and MySQL, helping to: • Improve and modernise an existing codebase, • Introduce better engineering practices, • Support a move towards containerisation (Docker), • Contribute to CI/CD improvements We're looking for developers who: • Are open to using AI to speed up delivery and problem solving, • Have started exploring how it can improve code quality or productivity, • Strong experienc with PHP and Laravel, • Solid understanding of MySQL, • Comfortable working across backend (with some frontend exposure - React nic...

Platform Engineer with key skills in AWS, Kubernetes, Docker and back end services (Python, node, Go etc) is sought on a remote basis by a high growth FinTech. Working at the forefront of B2B Saas financial security this Platform Engineer will be working with a close-knit technical team to monitor, manage and improve business critical applications and infrastructure with the aim of facilitating improvements in application deployment & scalability. This role would suit a DevOps or Platform Engineer with a solid background in software engineering and infrastructure who can bring experience working with the latest automation and config management tooling to create a fully automated deployment environment. In return this Platform Engineer can expect a dynamic, engaging, R&D driven culture with extensive progression opportunities and the chance to own the platform functionality of this high growth business. This Platform Engineer should have most of the following key skills: - Strong experience in owning scalability ideally within a product lead environment - Solid back end services experience - Go, Python, node etc) - IAC experience - Terraform, Ansible, Redhat etc - AWS exposure - Strong containerization experience - Docker, Kubernetes - Basic VM management experience - Experience delivering new tooling for infrastructures - Rational database exposure - Postgres, MySQL etc - An agile, flexible personality who feels comfortable working in a ...

We’re Hiring on Behalf of Our Client: ML & AI Engineers Our client, a forward-thinking organization investing heavily in AI and machine learning innovation, is looking to hire ML & AI Engineers across multiple experience levels. If you’re passionate about deploying scalable AI systems and working on cutting-edge technologies, this could be your next move. Role Overview As an ML & AI Engineer, you will be responsible for automating model deployment, managing version control, and ensuring production-ready AI systems. You’ll also play a key role in integrating AI/LLM agents with strong observability and rollback mechanisms. Location : Leeds/Manchester Client : IT End Client :Banking domain Work Mode: Hybrid Contract : Inside IR 35 Salary : Market Standards Key Responsibilities • Automate ML model deployment workflows, • Manage model versioning and release processes, • Monitor inference cost, latency, and model drift, • Safely integrate AI/LLM agents into production systems, • Implement observability, alerting, and rollback mechanisms Experience Levels We’re hiring across multiple seniority levels: • Senior Developer: 3–6 years (ML/AI Engineering), • Lead Engineer: 7–9 years (ML/AI Engineering), • Architect: 10+ years (ML/AI Engineering) Required Skills • Model deployment automation, • Model version control, • Monitoring (cost, latency, drift), • Production integration of AI/LLM agents, • Observability & rollback systems Preferred Skills • Experience with containerized environments (Docker/Kubernetes), • Familiarity with CI/CD pipelines for ML (MLOps) Education Bachelor’s or Master’s degree in Computer Science, Engineering, or related field Location Flexible / Open (depending on project requirements) Employment Type Full-time Why Apply? This is a fantastic opportunity to work with a client at the forefront of AI innovation, building scalable, production-grade systems that make a real impact. Interested? Apply now or message me directly to learn more. Referrals are welcome! #Hiring #AIJobs #MLEngineer #MLOps #TechCareers #Recruitment #AIEngineering

SII OVERVIEW: SII Group delivers Digital Services, IT, Engineering, and Consulting to diverse industries, enabling digital transformation through our commitment to Growth, People, and CSR. With over 16,000 professionals across 21 countries, we’re recognised as a “Great Place to Work” for fostering a high-trust culture. Our core values of Trust, Transparency, and Quality drive our work package delivery, ensuring we meet and exceed client expectations as a committed partner. Since 2016, SII UK has supported top Aerospace & Defence, Aviation, Transportation, and Finance clients, empowering digital transformation with industry-leading engineering expertise. Let’s Tech Together is our promise to encourage innovation and teamwork. We support our engineers with development opportunities and a collaborative, inclusive environment where every voice is valued and empowered. #Let'sTechTogether THE OPPORTUNITY We are seeking a highly skilled Software Engineer with strong proficiency in C++ to support the development and integration of real-time applications into high-quality distributed software solutions. The successful candidate will contribute to the design and implementation of large-scale distributed systems, working with Linux-based environments and containerised runtime platforms. The role involves implementing mathematical or theoretical models into production software and integrating them into modern deployment environments. Experience with model-driven development, containerisation technologies, and strong adherence to clean coding and software quality practices is essential. Familiarity with UML modelling tools such as IBM Rhapsody (or similar) is advantageous. This role requires collaboration with software engineers, architects, and wider engineering teams to deliver robust, high-integrity software systems. KEY RESPONSIBILITIES: • Design and develop high-performance C++ software for real-time and distributed systems., • Implement mathematical and theoretical models into production-quality code., • Contribute to large-scale distributed system design and architecture., • Develop, deploy, and debug software targeting Linux-based operating systems., • Work within model-driven development environments, integrating auto-generated and manually written code., • Develop and maintain containerised applications using technologies such as Docker, Podman, or Kubernetes., • Support CI/CD pipelines and automated build environments., • Apply high-integrity coding practices including static analysis and rigorous unit testing., • Collaborate with software architects and engineering teams to deliver complex software systems., • Produce technical documentation and software deliverables to engineering standards. ESSENTIAL SKILLS & EXPERIENCE: • Strong C++ development experience., • Broad knowledge of software languages, frameworks and development tools., • Understanding of software architectures and distributed system design., • Ability to implement mathematical/theoretical models in software., • Experience with model-driven development and working with autogenerated and hand-written code., • Experience developing and debugging software on Linux systems, including scripting (Shell, Bash, Python)., • Knowledge of TCP/IP networking and IP protocols., • Experience with software development tools and pipelines (e.g. Git, JIRA, Jenkins)., • Experience with configuration management and build systems (e.g. Bitbucket, Artifactory)., • Knowledge of high-integrity coding practices, including unit testing and static analysis., • Experience with containerisation technologies (Docker, Podman, Kubernetes)., • Ability to produce technical documentation. DESIRABLE SKILLS: • Experience with software assurance activities and static analysis tools (e.g. Coverity, JFrog Xray)., • Knowledge of the Kubernetes/CNCF ecosystem., • Experience with virtualisation technologies., • Experience working in DevOps or CI/CD environments., • Understanding of clean code practices and code quality metrics. BENEFITS: • Competitive Basic Salary, • 6% Employers Contribution + 6% as a salary sacrifice, • Private Medical Insurance, Life Cover and Income Protection, • 25 days holiday, • 10 days full sick pay per year, • Flexible working, • Cycle to Work & TechScheme, • Continuous professional development, • Corporate access to the Udemy platform, • If you're applying for a role requiring security clearance, please be aware that foreign or dual nationality is not an automatic bar, however certain posts may have restrictions which could affect those who do not have sole British nationality or who have personal connections with certain countries outside the UK.

SENIOR DEVOPS ENGINEER- Permanent opportunity for a Senior DevOps Engineer with active enhanced DV clearance. SENIOR DEVOPS ENGINEER ESSENTIAL SKILLS- Experience operating in an SRE/ DevOps environment - Experience in containerisation technologies such as Docker or Kubernetes, for example. SENIOR DE

Key Responsibilities: * Design our scalable, secure and cost-effective cloud hybrid data solution aligned with Omnia enterprise architecture and Army training objectives. * Design innovative data models and metadata systems to interpret and enhance business needs, promoting data as a strategic asset. * Develop transitional data architectures and road maps in alignment with Omnia digital transformation objectives, enabling the evolution of integrated training solutions. * Collaborate with cross-functional teams and partners to ensure data architectural integrity and alignment. * Translate complex technical concepts for a non-technical audience, fostering understanding and buy-in from stakeholders. * Support horizon scanning to identify and assess emerging technologies and determine their potential impact on leveraging data analytics to improve training delivery. * Membership and contribution to the Omnia Architecture Board(s) to review, define, refine and uphold data architectural principles, policies, and standards across Omnia Training. * Work with engineering teams to support and guide the implementation of a variety of solutions across multiple domains, in an agile environment. * Manage and lead prototyping and research activity as required to realise the best solutions. * Provide oversight and advice to engineers undertaking the design of data models and support the management of data dictionaries. * Ensure the security and compliance of data environments through the implementation of appropriate architecture principles, security controls and governance frameworks. * Author, review and contribute to technical documentation. * Produce High- and low-level design artifacts for data storage, processing, and retrieval systems. * Stay current with data technologies, making recommendations for use based on business value. Drive the adoption of these technologies. * Serve as the Subject Matter Expert (SME) for the Omnia Data Lakehouse, providing strategic guidance, technical oversight, and deep expertise in its architecture, implementation, and optimisation. Who we are looking for: The Data Architect will provide strategic and practical leadership across the data architecture landscape of the Army Collective Training Service (ACTS). This role is pivotal in shaping and governing the enterprise data architecture to ensure it aligns with the ACTS vision and supports data as a mission-critical asset. Working closely with the Data Lead, Enterprise Architect and Chief Engineer, you will design, evolve, and maintain a secure, scalable, and interoperable data architecture, leveraging cloud services from AWS, Azure, and OCP where appropriate. This role requires a systems-thinking mindset, strong stakeholder engagement skills, and the ability to work across engineering teams in a complex and evolving environment. Essential Skills and Experience: * Proven experience designing and implementing scalable, secure, and interoperable data architectures in complex environments with cloud platforms (AWS, Azure, GCP, OCI) and cloud-native data services including use of services like S3, Lambda, Glue, Data Factory, etc. * Experience designing and supporting implementation of large-scale data pipelines, data warehousing and Lakehouse technologies. * Strong skills in conceptual, logical, and physical data modelling using tools like ER/Studio, ERwin, or Sparx EA (preferred). Experience reverse engineering models from existing databases. * Proficiency in distributed data processing frameworks (e.g., Spark, Flink, Hadoop). * Experience with API management and gateway tools and services. * Experience of RESTful APIs for ingesting and exposing data. * Proven track record with data governance, quality, lineage, and security practices. * Experience with real-time/streaming data technologies, data Ingestion / ETL (e.g., Apache Kafka, Apache NiFi, Kinesis, Pub/Sub). * Experience in, or knowledge of, DevSecOps Tooling and Processes. * Self-starter with the ability to appropriately prioritise and plan complex work in a rapidly changing environment. * Strong critical thinker with problem solving aptitude. * A working knowledge of MoD or Government IT Security environments and requirements at various classifications. Desirable Skills and Experience: * Hands-on experience with containerisation and orchestration (Docker, Kubernetes, Red Hat OpenShift). * Exposure to infrastructure-as-code tools (Terraform, CloudFormation). * Experience with BI/visualisation tools (e.g., Tableau, Power BI, Looker, Elastic Stack). * Knowledge of compliance frameworks (GDPR, HIPAA, CCPA) and their impact on data systems. * Relevant Data and Architecture certification such as TOGAF, MODAF, AWS/Azure Certified Data Architect or Solutions Architect, DAMA Certified Data Management Professional (CDMP) JBRP1_UKTJ

DEVOPS ENGINEER- Permanent opportunity for a DevOps Engineer with active enhanced DV clearance. DEVOPS ENGINEER ESSENTIAL SKILLS- Experience operating in an SRE/ DevOps environment - Experience in containerisation technologies such as Docker or Kubernetes, for example. WHO ARE WE?We're hiring for De

AI Engineer Job Tenure: Full-time, permanentSalary: CompetitiveCompany Description Ready to join a team that's leading the way in reshaping the future of insurance? Here at esure Group, we are on a mission to revolutionise insurance for good! We’ve been providing Home and Motor Insurance since 2000, with over 2 million customers trusting us to keep them covered through our esure and Sheilas’ Wheels brands. With a bold dedication for digital innovation, we're transforming the way the industry operates and putting customers at the heart of everything we do. Having completed our recent multi-year digital transformation, we’re now leveraging advanced technology and data-driven insights alongside exceptional service, to deliver personalised experiences that meet our customers ever-changing needs today and in the future. Job Description We currently have a phenomenal opportunity for an AI Engineer to join our us as we enhance our customer experience by harnessing the power of NLP, large language models, and flawless integration with third-party GenAI services. In this dynamic role, you'll be involved in every stage of the AI lifecycle, from brainstorming ideas and crafting prompts to fine-tuning models and deploying them into production. Success in this role is measured through rigorous A/B testing, ensuring our solutions deliver real value. You'll have the opportunity to work on a variety of impactful projects across the entire enterprise. We are seeking an innovative individual who shares our vision to fix insurance for good. What you’ll do: • Collaborate with business partners to identify use-cases where GenAI can provide measurable benefits., • Support the data science and AI team in deploying scalable AI applications across the enterprise., • Work with a multi-functional team (DevOps, data engineers, developers, testers, Infosec) to productionize AI services on AWS., • Enhance our tech stack, including MLOps, CI/CD pipelines, UI, and AI Python libraries., • Develop prompts, fine-tune models, and track results., • Evaluate third-party GenAI and LLM technologies for cost-benefit analysis., • Deliver projects from scoping and R&D to production deployment and benefit measurement., • Follow and contribute to standards for code quality, R&D, and model development., • Engineer data for optimal AI application performance., • Advise peers and senior management on business and customer impact., • Write production-grade Python code, leveraging CI/CD, Databricks, and ensuring appropriate test coverage; proficiency in SQL., • Liaise with third-party partners and stay updated on field advancements and regulations., • You are a self-starter with experience in delivering research + models to production to drive tangible commercial benefits and improved customer experiences., • You thrive in working autonomously and collaboratively to drive impact in a fast-paced multi-functional business., • PhD or MSc experience in a numerate subject: Machine Learning, Computer Science, Statistics, or equivalent,, • Demonstrable experience of applying, researching, and developing sophisticated NLP models, prompt engineering + fine-tuning LLMs to drive value in a commercial setting,, • Able to work independently and efficiently to deliver projects on time, taking project briefs and refining them to strong results., • Experienced in engaging with non-technical stakeholders to scope, design and build an appropriate ML solution., • Proficient with Python data science stack, e.g., pandas, scikit-learn, Jupyter etc., and version control, e.g., Git., • Exposure to LLMOps, model monitoring principles, CI/CD and associated tech, e.g., Docker, MLflow, k8s, FastAPI etc., • Knowledge of Langchain, huggingface and LLM offerings by 3rd party vendors., • Knowledge of OO programming and software design, i.e., SOLID principles., • Knowledge and working experience of AGILE methodologies., • Familiarity with Databricks, and RAG application architecture a plus, • Competitive salary that reflects your skills, experience and potential., • Discretionary bonus scheme that recognises your hard work and contributions to esure’s success., • 25 days annual leave, plus 8 flexible days and the ability to buy and sell further holiday., • Our flexible benefits platform is loaded with perks to choose from, so you can build a personal toolkit to support your health, wellbeing, lifestyle, and finances., • Company funded private medical insurance for qualifying colleagues., • Fantastic discounts on our insurance products! 50% off for yourself and spouse/partner and 10% off for direct family members., • We’ll elevate your career with hands-on training, mentoring, access to our exclusive academies, regular career conversations, and expert partner resources., • Driving good in the world couldn’t be more important to us. Our colleagues can use 2 volunteering days per year to support their local communities., • Join our internal networks and communities to connect, learn, and share ideas with likeminded colleagues., • We’re a proud supporter of the ABI’s ‘Make Flexible Work’ campaign and welcome you to ask about the flexibility you need. Our hybrid working approach also puts you in the driving seat of how and where you do your best work.

Application Engineer - Connect Fibre £40,000 pa plus benefits Work from Home The Role Founded in 2020 by a team of like-minded, very experienced telecoms professionals, we have one vision; to deliver. We are a rapidly growing startup with a bold plan for the rapid rollout of multi-gigabit full-fibre broadband networks and services to communities across the UK. We are seeking a motivated and detail-oriented Application Engineer to join our dynamic team supporting the development, implementation, and maintenance of software applications. Working closely with other engineers and cross-functional teams you will ensure the successful delivery of high-quality solutions that meet business and customer requirements. This is an excellent opportunity to play a big part in our transformation plans. Duties and responsibilities • Design and implement backend services and integrations using Python and modern frameworks., • Build and maintain frontend applications using PHP, JavaScript/TypeScript and frameworks like Angular or Vue., • Troubleshoot and resolve complex technical development issues, providing timely and effective solutions., • Contribute to the creation and maintenance of technical development documentation, including user guides, system documentation, and design specifications., • Conduct regular code reviews to maintain code quality, performance and adherence to coding standards., • Work closely with other engineers, product owners, and other stakeholders to understand project requirements and contribute to the design and development process., • Suggest and implement improvements to the development process, ensuring efficiency and quality in application delivery., • Working closely with the wider Technology team to align system direction and deliver improvements., • Helping shape technical decisions and taking part in solution design discussions. Qualifications and Experience A developer with a proven track record in supporting successful development projects, involved in the full development lifecycle from analysis to development. • Proficiency in at least one programming language - Javascript, Python, PHP, • Understanding of web technologies (HTML, CSS, JavaScript) is a bonus, • Experience with Wordpress and WooCommerce would be beneficial, • Familiarity with software development methodologies (Agile, Scrum, Devops etc.), • Experience of Cloud infrastructures Azure or AWS, • Working experience of API and REST API integrations, • Strong analytical and problem-solving skills to identify and mitigate development risks effectively, • Experience of development and integration of SAAS applications, Hubspot beneficial but not essential, • Knowledge of geopandas, numpy, node or SQL is desirable but not essential, • Experience with GIT and Docker processes beneficial, • Excellent communication skills with the ability to convey complex technical concepts to non-technical stakeholders Personal Profile & Working Conditions Location: Candidates must be currently resident in the UK and with either UK citizenship or indefinite leave to remain. Candidates will: ▪ Be self-starters, able to demonstrate enthusiasm, tenacity and the ability to prioritise tasks in a rapidly changing environment. ▪ Be able to work effectively in a remote/hybrid working environment with minimal day-to-day supervision. ▪ Be able to demonstrate the ability and willingness to work in a dynamic, rapidly growing organisation. ▪ Be able to collaborate effectively across the organisation. Effective communication is essential. Connect Fibre operates a hybrid working model with main emphasis on home working with intermittent visits to company office locations, in particular the main office in London. Measured on Performance evaluation will be based upon: ▪ Productivity and specific targets to be agreed collaboratively with line manager ▪ Quality of work and feedback from peers and colleagues ▪ Delivery of systems and services within agreed organisation and budget constraints ▪ Collaboration and skills as a team player. ▪ Innovation and creativity. Direct reports • This role reports directly to the Head of Systems Development. The Rewards • Salary: £40,000 per annum, • 25 days holiday plus Bank Holidays plus Birthday Off (pro-rata), • Company Pension Contribution, • Private Medical and Dental package, • £1,500 Employee Referral Scheme, • Family Friendly Support Package Connect Fibre offers excellent team and business building opportunities. Please see for more information on our exciting new business! Interested applicants should, in the first instance, apply here or send an up-to-date CV to: Paul Blunt at Connect Fibre . All applications will remain strictly confidential.

The Opportunity We are an Imperial College London med tech spinout building AI-powered clinical decision-support tools certified as Software as a Medical Device (SaMD). Our platform uses real-world EHR data to identify patients at risk of preventable harm — giving NHS clinicians time to act. We are a small, high-ownership team operating at the intersection of clinical AI and healthcare infrastructure. This is a foundational engineering hire with a clear path to Head of Engineering as we scale. The Role You will own and shape the technical core of a live clinical AI platform — working across backend services, ML infrastructure, and hospital data integrations. You will have a direct line to the CTO and CEO from day one, with real influence over architectural decisions on a system processing real patient data across NHS trusts. What You'll Do 🔹 Own and extend the backend and ML infrastructure of a production SaMD system 🔹 Design and implement integrations with hospital systems (EHR, HL7/FHIR), including partnerships with major healthcare data platforms 🔹 Build and maintain Python/Azure-based services — APIs, data pipelines, monitoring and audit frameworks 🔹 Write software that meets medical device quality standards, producing artefacts that support regulatory submissions 🔹 Collaborate with clinical, data science, and regulatory stakeholders 🔹 Help define engineering culture and processes as the team grows around you What We're Looking For ✅ 5+ years of professional software engineering experience with a strong Python background ✅ Proven experience building and operating production services on Azure or AWS ✅ Comfort with data-heavy systems — pipelines, databases, REST APIs — and a taste for clean architecture ✅ Strong written communication; able to document work to regulatory audit standard Nice to Have ⭐ Experience in a regulated software environment (medical devices, fintech, defence, or similar) ⭐ Familiarity with FHIR/HL7 or clinical EHR systems ⭐ Exposure to ML model deployment or monitoring in production Tech Stack Python · Azure · Terraform · Docker · ML Pipelines · FHIR / HL7 · GitHub Actions What's on Offer 💰 Competitive renumeration package, depending on experience 🏖️ 25 days annual leave + bank holidays 🏥 Access to clinical and academic networks 🔀 Flexible hybrid working, London base Growth Path As we move through our next funding round and scale clinical deployments, the expectation is that you grow into Head of Engineering or equivalent — owning technical strategy, building a team, and sitting at the table for product, regulatory, and commercial decisions.

Location: Cheltenham INTRODUCTION We are looking to hire a skilled Software Developer to join our dynamic and innovative team. As a Software Developer, you will be responsible for designing, implementing, and maintaining high-performance, scalable software solutions using Python and related technologies. You will collaborate closely with cross-functional teams to develop and deploy robust web applications, leveraging your expertise in Flask, MongoDB, HTML, CSS, Bootstrap, JavaScript, RESTful services, Docker, AWS, Jenkins, and Git. RESPONSIBILITIES • Design, develop, and maintain Python-based web applications using the Flask framework., • Implement efficient data storage solutions using MongoDB., • Create responsive and visually appealing user interfaces using HTML, CSS, and Bootstrap., • Enhance user experience through dynamic client-side scripting with JavaScript., • Develop and integrate RESTful services to support seamless communication between frontend and backend systems., • Containerise applications using Docker for streamlined deployment and scalability., • Deploy and manage applications on AWS cloud infrastructure., • Implement continuous integration and continuous deployment (CI/CD) pipelines using Jenkins., • Collaborate with cross-functional teams to understand requirements and translate them into technical solutions., • Ensure code quality, performance, and security through rigorous testing and code reviews., • Utilise version control systems, particularly Git, for managing the codebase and collaboration. EXPERIENCE / REQUIREMENTS • Bachelor’s degree in Computer Science, Software Engineering, or a related field (or equivalent work experience)., • Proven experience (1.5 years) as a Python Developer, with a focus on web development., • Proficiency in the Flask framework and MongoDB database design and management., • Strong understanding of web technologies including HTML, CSS, Bootstrap, and JavaScript., • Experience building and consuming RESTful APIs., • Familiarity with containerisation technologies such as Docker., • Hands-on experience with cloud platforms, particularly AWS., • Knowledge of CI/CD tools such as Jenkins for automated deployments., • Solid understanding of version control systems, particularly Git., • Excellent problem-solving and analytical skills., • Strong communication and collaboration abilities. ADDITIONAL REQUIREMENTS • Occasional UK travel may be required to attend team or customer meetings, events, and training activities., • Flexible working arrangements are available; however, there is value placed on teams being co-located in offices. Applicants are encouraged to discuss what may be possible during the application stage.

We are seeking a highly skilled and innovative Agentic AI Engineer to join our team and drive the development and deployment of cutting-edge generative AI solutions within the Microsoft ecosystem. This position is well-suited for candidates with a background in software engineering, data science, or machine learning who excel at developing production-grade AI applications utilizing Microsoft platforms such as M365, Copilot Studio, and Azure AI Foundry, and have at least one year of relevant experience. Strong software development background with proficiency in Python. • Experience with API development using FastAPI, Flask, or Django., • Knowledge of Docker and containerized deployments., • Hands-on experience with LLM models such as OpenAI GPTs, Claude, Gemini, LLaMA, or Mistral., • Expertise in applying prompt engineering techniques to improve model performance and reliability., • Experience in implementing robust evaluation frameworks and Responsible AI (RAI) practices., • Familiarity with Microsoft GenAI/Agentic AI ecosystem such as M365, Copilot Studio and Azure AI Foundry., • Strong understanding of software engineering principles and best practices., • Ability to work in agile environments and collaborate with cross-functional teams. You'll stand out if you also meet any of the following: • You are good at prototyping and experimenting with emerging technologies to assess feasibility and impact., • You have knowledge of vector databases, RAG architectures and their integration into enterprise systems, • You have experience with GenAI development frameworks or orchestration tools such as Semantic Kernel, AutoGen, LangGraph, LangChain, or PromptFlow., • You are familiar with core agent communication protocols, including MCP or A2A., • You are a person who loves to stay current with the latest advancements in GenAI, LLMs, and AI frameworks., • You are Microsoft Certified in Azure AI Engineer Associate or Azure AI Fundamentals. 🛠️ Qualifications • Bachelor's in computer science, data science, or a related field About Avanade: Avanade is the leading provider of innovative digital, cloud, and advisory services, industry solutions, and design-led experiences across the Microsoft ecosystem. The company was founded 25 years ago as a joint venture between Accenture and Microsoft. Back then, digital transformation, automation, and AI weren’t mainstream topics—Microsoft was primarily known for Office 365. But Avanade evolved with the times and is now the number one transformation leader within the Microsoft ecosystem. We have a team of 61,000 professionals in 26 countries. We’re a truly global company with a strong local presence— what I like to call “GLOCAL”: making global impacts on a local level.

Reference Code: -en_USContract Type: PermanentProfessional Communities: Software Engineering Job Title: FullStack (Java, Angular) developer Location: Manchester, UK About the Job you are considering: We are seeking experienced FullStack (Java, Angular) developer with strong expertise in banking domain who will overseeing the planning, execution, and successful delivery of projects Hybrid working: The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time. Your Role: • 8 years of JavaSpring Boot development experience including microservices and event driven architecture implementation, • Java 8 to 17 Docker Containerisation Spring framework, • Experience with CICD pipelines eg Gradle Artifactory TeamCity, • Angular or other JavaScript UI frameworks, • Web services and REST API design, • Distributed version control systems ideally Git, • Databases SQL Server, • Messaging frameworks and APIs such as JMS QuickFIXJ, • Building User facing applications Check out our website for further information on Insight, • Investment and our Technology agenda, • You understand and believe in the fundamentals OOP SOLID principles Clean Code Your Skills: Essential Skills & Experience • Code Java 17 Springboot, • Architecture Microservice based, • Messaging MQs We are a Disability Confident Employer: Capgemini is proud to be a ___

Reference Code: -en_GBContract Type: PermanentProfessional Communities: Software Engineering We are looking for a Java Full ‑ Stack Developer with strong expertise in Java 17, Spring Boot, and modern frontend technologies such as React or Angular. The role involves building scalable microservices, working with AWS services, and delivering secure, high ‑ quality software solutions. You will collaborate closely with cross ‑ functional teams while following best engineering practices including CI/CD, TDD/BDD, and agile methodologies. The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time. • Design, develop, and deliver high ‑ quality, scalable software solutions using Java 17, Spring Boot 3, and microservice ‑ based architectures., • Build and enhance RESTful APIs, secure backend services, and cloud ‑ ready applications on AWS., • Develop responsive web interfaces using HTML5, TypeScript, and React.js or Angular., • Apply enterprise design patterns and modern engineering best practices for performance and maintainability., • Ensure robust application performance through memory and performance profiling., • Work with pub/sub messaging platforms such as Kafka or MQ for distributed systems integration., • Participate in code reviews, pair programming, and collaborative design discussions to improve code quality., • Partner with product managers, designers, and cross ‑ functional teams to refine requirements and deliver seamless integration., • Implement automated testing practices using JUnit, Jest, or Karma, following TDD/BDD., • Contribute to continuous integration, automated deployments, and agile delivery cycles., • Stay updated on new technologies, tools, and industry trends while promoting a culture of continuous learning., • Strong hands ‑ on experience with Java 17, Spring Boot 3, REST services, JPA, Collections, Generics, Multithreading, and I/O Streams., • Experience with frontend frameworks like React.js (v16+) or Angular (v10+)., • Solid understanding of microservices architecture and distributed system patterns., • Proficiency in AWS services including Lambda, Step Functions, and IAM., • Strong experience with Kafka or other messaging queues., • Skilled in reading, writing, and debugging multithreaded code., • Hands ‑ on experience with Docker, GitLab, JIRA, IntelliJ IDEA, and CI/CD practices., • Strong knowledge of relational databases, ideally MS SQL Server., • Proficiency in unit testing, code quality metrics, TDD/BDD development approaches., • Excellent problem ‑ solving, critical thinking, communication, and collaboration skills., • Knowledge of OpenShift or other cloud ‑ native platforms., • Ability to manage multiple workstreams in parallel., • Strong interpersonal skills with clear written and verbal communication. Capgemini is proud to be a ___

Data Science / Data Scientist / AI Engineer / AI / Machine Learning / ML / NLP / GenAI / Stakeholder Engagement / Customer Engagement / AWS / Azure / Cloud / Docker / Kubernetes / CI/CD / Deep Learning. We are recruiting Junior, Senior and Lead Data Scientists with AI specialism and enhanced DV Clea

AWS Solution Architect – Up to £95K + Bonus We’re working with a global technology consultancy delivering secure, large-scale digital transformation programmes across multiple industries. They’re looking for an AWS Solution Architect to join a growing engineering and architecture team, designing and delivering modern, cloud-based solutions across enterprise environments. This role is ideal for someone who wants to shape cloud strategy, design scalable architectures, and work alongside senior engineers and technical leads on enterprise-scale AWS programmes. What You’ll Be Doing: • Designing secure, scalable AWS architectures, • Defining cloud solutions across microservices, data, and integration layers, • Supporting migration and modernisation initiatives, • Working within Agile delivery teams, • Contributing to CI/CD and DevOps best practices, • Ensuring solutions meet security, governance, and compliance standards, • Collaborating with developers, DevOps engineers, and stakeholders What They’re Looking For: • Strong hands-on experience with AWS solution design, • Experience architecting cloud-native solutions, • Understanding of microservices and modern application patterns, • Experience working in Agile environments, • Ability to translate business requirements into secure technical architectures, • Passion for cloud innovation and best practices Nice to Have: • AWS Associate or Professional certification, • Experience with containers (Docker/Kubernetes), • CI/CD tools (e.g. Jenkins, GitLab, etc.), • Knowledge of security architecture and IAM, • Experience with data platforms or analytics solutions Security Clearance Requirement: Due to client project work, candidates must be eligible for UK Security Clearance (SC). Why Apply? • Work on large-scale enterprise cloud transformations, • Strong technical mentoring and career progression, • Hybrid working model, • Modern cloud-first engineering culture, • Excellent benefits package including private medical and additional volunteering leave Ok, I’m In What’s Next? Please apply with your latest CV.

Job title: Senior Machine Learning Engineer The full job description covers all associated skills, previous experience, and any qualifications that applicants are expected to have. Locations: Manchester or Haywards Heath (hybrid working) Role overview Markerstudy Group are looking for a Senior Machine Learning Engineer to help take leading-edge and novel insurance risk modelling and pricing techniques and participate in creating fully automated machine learning pipelines. Markerstudy is a leading provider of private insurance in the UK, insuring around 5% of the private cars on the UK roads, 20% of commercial vehicles and over 30% of motorcycles in total premium levels of circa £1 billion. Most of Markerstudy's business is written as the insurance pricing provider behind household names such as Tesco, Sainsbury's, O2, Halifax, AA, Saga and Lloyds Bank to list a few. As a Senior Machine Learning Engineer, you will use your skills to: • Tune machine learning methods to best leverage our state-of-the-art processing capabilities, • Deploy and maintain machine learning methods in a DevOps / MLOps based machine learning environment You will also be responsible for refining, tuning, deploying and maintaining machine learning methods in our machine learning pipeline by using robust test-driven development (TDD) approaches to maximise performance and robustness, and improve company performance and our customer-centric offerings across Motor, Home and Commercial Lines businesses. The successful candidate will also enjoy opportunities for leading, coaching, and mentoring more junior ML Engineers. Key Responsibilities: • Report and communicate with Senior Stakeholders, such as the Head of Data Science and Machine Learning and Director of Technical Underwriting, • Propose, proof-of-concept, develop, and deliver novel machine learning processes that automate current manual processes, and leverage DevOps and MLOps software., • Work in a collaborative environment with data science to help deploy machine learning methods that are state-of-the-art, robust, and future extensible., • Tune machine learning methods for optimal performance. xrnqpay, • Deploy and maintain machine learning methods in our machine learning pipeline using robust test-driven development (TDD) coding approaches, using the SOLID software development principles., • Actively contribute to creating a culture of coding and data excellence, • Implement efficient solutions across a range of markets, including Private Motor, Commercial Vehicle, Bike, Taxi, and Home, • Previous experience in tuning and deploying machine learning methods, • Experience with some of the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering, • Experience in DevOps and Azure ML, or other MLOps and ML Lifecycle technology stacks, such as AWS, Databricks, Google Cloud, etc., • Experience with deploying services in Docker and Kubernetes, • Experience in creating production grade coding and SOLID programming principles, including test-driven development (TDD) approaches, • Experience in programming languages (e.g. Python, PySpark, R, SAS, SQL), • Experience in source-control software, e.g., GitHub, • Proficient at communicating results in a concise manner both verbally and written, • A high level of professional/academic excellence, educated to at least a master's level in a STEM-based or DS / ML / AI / or mathematical discipline, • Collaborative and team player, • Logical thinker with a professional and positive attitude, • Passion to innovate and improve processes