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Job Title: Senior product engineer/designer – Advanced machines Location: Sheffield, UK (primarily on-site, some flexibility) Type: Full-time, Permanent Salary: £49,000 - £75,000 per annum About Fyous Fyous is building a new class of manufacturing technology — fast, digital, zero-waste, and fundamentally different to anything on the market today. We’re looking for an exceptional Lead Design Engineer to take a complex, integrated machine from prototype through to a repeatable, production-ready product. You’ll work directly with the founders and Senior Leadership Team, with significant freedom and responsibility to get things done properly. Our Culture At Fyous, culture is not an afterthought – it's a core driver of our success. We’re committed to continuously building a better, more resilient, and human-centric working environment. We value openness, learning, and integrity, and we actively invest in helping our team grow not just technically, but personally. All employees are encouraged to read from a curated library of books that shape how we work, communicate, and resolve conflict. Titles like Radical Candor by Kim Scott help foster a feedback-rich culture where people challenge directly while caring personally. Malcolm Gladwell’s Outliers informs our understanding of how environment, practice, and opportunity shape excellence – lessons we apply in how we grow talent and structure work. This shared intellectual foundation helps align behaviours, encourage thoughtful communication, and support healthier resolution of internal friction. We believe great companies are built from the inside out – and that starts with how we treat each other every day. Role Responsibilities This is a hands-on, high-ownership role for an agile, creative engineer who is deeply passionate about great design and disruptive solutions. You’ll take pride in turning new technology into robust, manufacturable machines, working across individual parts, assemblies and complete systems. Challenges will be frequent and solving them is the job. As Senior product engineer/designer you will be responsible for early development of our first dental aligner moulding machine. You will lead the way from early concepts, testing, validation all the way through to producing the first production prototype. You will wear many hats and have experience in systems design across mechanical, software and electrical. You are a born maker, experimenter and problem solver. • Designing and developing complex mechanical systems, assemblies and full machines, • Develop processes and optimising parameters from test setups, • Integrating mechanical, electrical and software-controlled systems, • Building, testing and iterating prototypes on the shop floor, not just in CAD, • Running experiments, diagnosing failures and rapidly improving designs, • Scaling designs from prototype to production-ready hardware, • End-to-end engineering project ownership: planning, dependencies, risks and mitigation, • Monitoring progress and reporting clearly to senior stakeholders, • Managing requirements, interfaces and traceability across assemblies, • Ensuring requirements are correctly interpreted and implemented through development phases, • Driving design reviews and ensuring solutions follow robust engineering principles, • Ensuring compliance with regulatory requirements, • Evaluating build processes for effectiveness, efficiency and quality, • Providing technical leadership on test planning, execution and reporting, • Assessing design maturity using performance data, FMEA and lessons learned, • Owning detail design sign-off including 3D models, drawings, tolerance stacks and engineering BOMs, • Managing engineering change, part approval and deviation processes, • Working directly with suppliers and manufacturing partners across the globe, • Supporting RFQ and supplier decision-making with technical expertise This role spans design, build, systems thinking, project management and delivery. You will be expected to operate comfortably across disciplines and take full ownership of outcomes. Ideal Candidate Profile We’re looking for a pragmatic engineer with a deep technical foundation and a hands-on mindset. Essential Skills & Experience: • A degree in Mechanical Engineering, Mechatronics, Product Design or similar, • Software, programming or controls experience, • Proven experience taking complex machines from concept to market launch, • Experience scaling from prototype to low–medium volume production (~500 units/year), • Strong mechanical engineering fundamentals (mechanisms, tolerances, materials), • Practical experience integrating electrical systems, actuators, sensors and control software, • Strong understanding of systems engineering, requirements management and risk management, • Experience of international regulations related to the safe supply of machinery and CE certification, • Experience managing design changes, approvals and technical trade-offs, • Ability to assess cost implications of design decisions and drive cost-effective solutions, • Practical knowledge of 3D CAD, PLM systems and analysis tools, • Exceptional analytical and problem-solving ability, grounded in data and evidence, • The ability to clearly explain technical findings and recommendations to senior leadership, • A strong bias toward practical, on-site engineering and experimentation, • High ownership, sound judgement and a track record of shipping real hardware Compensation & Benefits • Salary: £49,000 - £75,000 depending on experience., • Equity: All employees receive equity., • Private Healthcare: Full coverage provided., • Product Perks: Discounted Mous products., • Development Support: Training and growth encouraged. Application Process To apply, email your CV and a short cover letter to: Process: • Initial call, • Technical challenge, • On-site interview, • Final interview We’re ready to hire immediately but are happy to wait for the right candidate. Join us in rethinking how things are made.

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

Senior Data Engineer – Remote UK or Europe Are you a Senior Data Engineer who wants to join a scaling SaaS startup that is just about to close its Series A? A hospitality SaaS company are shaking up the industry, building a modern platform designed around real data. 📍 Remote in UK or Europe. You will need to be +/- 2 hours UTC 💷 £80,000 - £90,000 + Equity 🤝 Interview Process 3 stages – Interview with Founder, Interview with team members, Final Technical Interview Tech Stack: Angular, TypeScript, Liveview, Tailwind, Elixir, Node, Nest, Postgres, GraphQL, Git, Kubernetes, Websockets, AWS Today the platform already processes a large volume of transactional information and has a strong data foundation in place. • ~500GB of structured transaction data, • 100M+ transactions across multiple restaurant types, • A data platform ready to scale The next step is turning this into a high-performance analytics and data infrastructure that powers benchmarking, product insights and machine learning. That is where you come in. We are looking for a Senior Data Engineer who can design and build the analytics architecture that sits alongside the transactional platform and unlocks the value of this data. The Role: You will design and build the analytics infrastructure that powers data across the business. This includes building scalable pipelines, selecting and implementing the right warehouse architecture and ensuring analytical queries can run in seconds across hundreds of millions of records. You will work closely with engineers, data scientists and ML engineers to ensure the platform supports both product intelligence and machine learning use cases. This is a hands-on role where you will own the architecture, pipelines and performance of the analytics stack. What You Will Be Doing • Design and build a scalable analytics architecture capable of handling hundreds of millions of transactions, • Build and optimise an OLAP analytics stack separate from the transactional database, • Design and maintain ETL / ELT pipelines moving data from transactional systems into the analytics warehouse, • Ensure data integrity across 100M+ transaction records, • Optimise analytical queries to deliver sub-second or few-second performance, • Implement monitoring, alerting and testing across data pipelines, • Support data modelling and suggest improvements to existing database structures, • Manage supporting infrastructure across the data platform, • Work closely with ML engineers to support model training and inference, • Collaborate with technical and non-technical stakeholders to turn business questions into efficient data models, • Contribute to the long term data architecture strategy, • Help establish data governance, consistency and quality standards across the platform Experience We Are Looking For • Strong experience as a Senior Data Engineer, • Advanced SQL skills and strong query optimisation experience, • Experience building large scale analytics systems, • Hands-on experience with OLAP databases such as ClickHouse, Snowflake or Amazon Redshift, • Experience designing and implementing ETL pipelines from scratch, • Experience implementing caching strategies using Redis or AWS ElastiCache, • Strong knowledge of AWS infrastructure, • Ability to explain complex technical ideas to non-technical stakeholders Nice To Have • Experience with real time analytics systems, • Experience building benchmarking or BI platforms, • Experience working with very large datasets, • Familiarity with orchestration tools such as Airflow, Kafka or AWS Glue, • Knowledge of partitioning and sorting strategies for large datasets, • Experience in startup or high growth environments, • Understanding of data science concepts such as clustering or recommendation 90 Day Outcomes Within the first 90 days you will be expected to deliver clear progress on the analytics platform. This includes: • Selecting the appropriate analytics warehouse based on performance, cost and scalability, • Designing and deploying ETL / ELT pipelines ingesting data from Amazon Aurora into the analytics warehouse, • Implementing monitoring and alerting across pipelines and warehouse infrastructure, • Reducing benchmark analytics query times to under 2 seconds, • Implementing a caching layer for frequently used analytical queries, • Evaluating the current data architecture and recommending improvements to support long term scale If you’ve spent most of your career working for a large business, think about applying. You’ll need to be able to adapt, pivot and face the challenges that happen in startups. Apply or DM for more information

Data Science Training & Internship – CP Int-Elligence Tech Solutions Plc (UK-Based) Remote | 3 Months | Industry-Recognised Certificate | 1:1 Live Mentorship | April 2026 - Ⅱ The UK job market continues to face a shortage of skilled data professionals. Organisations across industries are actively seeking individuals who can turn data into meaningful insights and business value. Data science is no longer optional - it is becoming a core capability for growth-driven organisations in the UK. Our program is specifically designed to bridge the gap between academic theory and the practical, real-world experience UK employers look for in data and tech professionals. About 46% of UK businesses said they struggled to recruit for roles requiring data skills over the past two years(GOV.UK) Why Consider This Program? UK Skills Gap: A significant proportion of UK data roles remain unfilled due to a shortage of job-ready candidates (STEM Learning). Portfolio-Led Learning: Build up to 5 real-world projects, including use cases such as fraud detection, forex analysis, and sales forecasting. UK-Based Credibility: Training delivered by a UK-based technology firm, aligned with current local industry expectations and standards. Program Overview Data Science Training & Internship - CP This learning-focused internship is designed to help participants strengthen their practical data science skills through structured guidance, hands-on project work, and mentorship. What You’ll Gain Real-World Project Experience Apply data science techniques to real scenarios and develop a portfolio suitable for entry-level and transition roles. Mentorship from UK Industry Professionals Learn under the guidance of data specialists with experience across FTSE-listed companies, AI start-ups, and enterprise environments. Industry-Recognised Certification Participants who successfully complete the program will be eligible for a Microsoft-partnered industry certificate. Practical Tool Exposure Gain experience with frameworks and technologies commonly used by UK employers. Key Tools & Technologies Python – Core programming for data analysis NumPy & Pandas – Data preparation and manipulation Matplotlib & Seaborn – Visualisation and exploratory analysis TensorFlow, SciPy, Scikit-learn – Machine learning fundamentals Spark – Scalable data processing Flask & Streamlit – Deploying APIs and interactive data applications Who This Program Is For Graduates or final-year students in STEM, computer science, or analytics-related disciplines Professionals seeking to upskill or transition into data-focused roles Career changers looking to gain UK-aligned project experience Applicants should have basic working knowledge of Python 📌 Important Information This is an unpaid training and internship certificate program, structured specifically for learning, mentorship, and skill development. Please apply only if you are comfortable with this format and meet the eligibility criteria. How to Apply Apply directly via LinkedIn with your updated CV Shortlisted applicants will be contacted with next steps 📧 For queries: UK businesses are recruiting for 178,000–234,000 data or “hard data-skills” roles. Nearly half (≈ 48%) of businesses surveyed say they are hiring for data/data-skills roles - but many report difficulty filling them(Quantifying the UK Data Skills Gap, GOV.UK).

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.

Sports Senior Software Platform Engineer (Multiple roles, various seniority) | Sports Data We're also looking for PhD Sport Researchers, Quantitative Sports Modellers & Sports ML Experts We’re helping several sports data leaders, specialised in turning complex sporting datasets into actionable insights that drive smarter, evidence-based decision-making. Each team combines technical expertise with a genuine passion for sport, ensuring that the insights they deliver are both rigorous and practical. Build high performance trading and analytics platforms for the future of sports! Basketball, F1, Tennis, Horse Racing, Football (Soccer) and so much more... Essential Skills (Across the court/ track/ ground/ pitch): • Strong programming exposure with Go/ Golang or similar (such as Rust, Java, Kotlin, Python, C#, C++ etc), • Understanding of AWS to build pipelines., • Understanding of high-performance machine critical systems; ideally a sports trading platform or similar (financial trading/ banking/ air traffic platforms etc), • Strong problem-solving mindset with an analytical, systems-focused approach Bonus skills (100-point game, hat-trick, podium finish, Grand Slam): • Proven success with sports data/ the sports trading domain, • Genuine passion for sports and a curiosity-driven approach to understanding sports data Day-to-Day Duties (Throughout the venue): • Design, develop and analyse multiple high-performance sports trading and analytics platforms, whilst enabling global sports data to connect to it simultaneously, • Work with wider teams to add features, improve performance and increase reliability, • Contribute to CI/CD, security and long-term technical direction, • Innovate internal research projects exploring new metrics, analytical methods and applications of sport data Benefits (Beyond the match/ race/ game/ track): • An impact from day one, • Shape the future of sports technology, • Direct involvement with sport and the chance to apply tech to the real-world sporting calendar, • Creative freedom to experiment and innovate, • Supportive, collaborative culture that encourages learning and growth, • A vibrant team culture with a shared passion for sports, • Access to the latest tools and technologies, • Collaborative, flexible, remote first & hybrid working models, • Industry leading packages (competitive salary & bonus), plus an endless list of benefits.

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

Do you want to build AI systems that power real financial intelligence used by hedge funds? Have you deployed LLM or RAG systems into production rather than just prototypes? Are you ready to design agentic AI systems end-to-end in a small, high-ownership engineering team? A London-based alternative data company is hiring an AI Engineer to help build production AI systems used internally and eventually within client-facing products. The company develops machine learning models that estimate company performance before earnings announcements by analysing alternative datasets such as transaction data, digital signals, and web activity. Their platform tracks hundreds of public companies and sells predictive KPI insights to hedge funds and institutional investors. The team is small and highly technical, offering engineers significant ownership across architecture, tooling, and product development. This role will focus on designing and deploying end-to-end LLM systems, initially building internal AI tools and automation systems before expanding into client-facing AI products. Key Responsibilities • Design and deploy RAG pipelines for knowledge retrieval and reasoning, • Build agentic AI workflows using frameworks such as LangChain or similar, • Develop LLM microservices using Python frameworks such as FastAPI or Flask, • Build internal AI tools including chatbots, automation systems, and workflow assistants, • Deploy AI services on AWS infrastructure and manage reliability and monitoring, • Work with vector databases and orchestration frameworks for LLM systems Key Details • Comp: £60,000–£95,000, ~15% bonus, equity, • Working model: Fully remote (UK) with occasional team gatherings, • Tech stack: Python, LangChain, RAG systems, AWS, vector databases, • Visa sponsorship: This role cannot sponsor Interested? Please apply below.

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.

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.

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.

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

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)

Location: Remote (UK or Greece) Salary: Competitive, based on experience Job Type: Full-Time Working for Krotos We revolutionize sound creation by making Hollywood-quality sound accessible to everyone. Our groundbreaking software, featured in blockbuster productions like Avengers and Game of Thrones, empowers creators to design high-quality sound faster and more intuitively. Our mission is to change the way people design and perform sound. As a fast-growing, remote-first company, we are pushing the boundaries of creativity and innovation in content creation. The role Join our R&D team as an ML specialist to research, develop and ship technologies that change how people create sound. We're building systems that understand, manipulate and generate audio in ways that feel genuinely intuitive to professionals and we're nowhere near done. You'll own problems end-to-end, from identifying the right approach to getting it in front of customers, working closely with product to make sure what we build actually matters. Key objectives • Research and develop multimodal AI technologies that improve the way people work with sound, • Build and optimise LLM-powered audio pipelines and extend our Qwen-based vision model for audio production use cases, • Identify opportunities to apply the latest advances in generative AI and multimodal research to the professional audio field Responsibilities • Work within the team and research engineers to solve problems for film makers & sound designers, • Design and maintain backend inference systems that meet the latency and quality demands of professional audio workflows, • Collaborate with product and engineering teams to implement ML research in commercial products, • Work with the product owner to identify where ML creates the most value for customers, • Clearly and effectively communicate ML concepts, model behaviour and tradeoffs to the wider business, • Provide technical guidance on model architecture, fine-tuning strategy and deployment decisions Skills and experience Essential: • A degree in a relevant field or extensive professional experience, • Experience in commercial machine learning research and development, • Strong hands-on experience fine-tuning and adapting large language models (LoRA, QLoRA, PEFT, DPO/RLHF), • Experience working with data, training and evaluating machine learning models, • Experience with multimodal architectures — audio-language, vision-language, or both, • Extensive audio and signal processing knowledge — spectral features, neural codecs, generative audio models, • Experience deploying models to cloud inference (AWS or GCP) with awareness of latency and cost tradeoffs, • MLOps competency — experiment tracking, model versioning, evaluation pipelines, ML CI, • Experience with Python and modern ML frameworks (PyTorch, JAX), • Excellent verbal and written English communication skills, • Excellent analytical and problem-solving skills, • A desire to innovate and push current practice Desirable: • Experience with vision-language models, particularly Qwen-VL or similar, • Experience with Agile software development practices, • Familiarity with VST/AU plugin architectures and real-time audio constraints, • Experience delivering ML technologies shipped in commercial audio software, • Knowledge of sound design and audio post-production workflows, • C++ reading ability, • Previously registered audio machine learning patents Team Core Values Inventive. Driven. Transparent. Our values define who we are and how we work: • Honesty & Transparency: We communicate openly, share the truth even when it’s difficult, and build trust through clarity, • Team Player: We collaborate, support each other, and put collective success above ego, • Problem Solver: We face challenges head-on and find creative, practical solutions., • Open-Minded: We listen to others, consider different perspectives, and recognise the complexity of good decisions, • Politeness & Respect: We treat colleagues and customers with courtesy and professionalism, • Curiosity & Growth: We love learning, experimenting, and continuously improving, • Data-Driven: We let insights and evidence guide our decisions, not guesswork, • High Standards: We take pride in excellence and pay attention to the details that matter, • Strong Work Ethic: We commit, follow through, and work hard to achieve ambitious goals Benefits • Competitive salary and benefits package, • Private health insurance, • Opportunities for professional growth and development, • Flexible, remote working environment, • Access to cutting-edge technology and tools, • Exciting projects in a fast-growing, innovative company Next steps Send your CV and a cover letter to explaining why you are the best candidate for this role, referencing the requirements above and including two to three brief examples of relevant results. Note: All offers are subject to eligibility to work in the UK or Greece and satisfactory references. At Krotos, we value diversity and are committed to fostering an inclusive environment. We encourage applications from candidates of all backgrounds. Reasonable adjustments are available throughout the application and interview process.

Senior ML & AI Engineer Remote Up to £80,000 About the Role We’re partnered with a fast-growing tech startup focused on how brands and retailers use data. Their AI platform brings together data science, immersive visualisation, and large-scale machine learning to optimise product ranges, plan shopper journeys, and drive smarter commercial decisions. They’re now looking for a Senior ML & AI Engineer to join their lean, high-impact engineering team. This is a pivotal role at the intersection of ML engineering, backend systems, and LLM integration - ideal for someone who thrives in fast-paced, hands-on environments where ML systems are core. Responsibilities • Design, build, and maintain scalable backend systems that power advanced ML and LLM applications., • Develop and manage end-to-end MLOps pipelines with automation, reproducibility, and scalability at their core., • Deploy and monitor machine learning and LLM models in production, identifying model drift and performance issues., • Drive research and development in modern ML, AI, and LLM approaches, applying SOTA techniques in a real-world setting., • Champion clean, maintainable, and well-documented code following best engineering practices. What We’re Looking For • Strong academic background in Computer Science, ML, AI, or a related field., • Deep hands-on experience with Python and ML frameworks (PyTorch, TensorFlow, Hugging Face)., • Proven background in MLOps, including model versioning, CI/CD for ML, and production monitoring., • Experience building robust backend systems and APIs to serve ML models at scale., • Strong understanding of big data technologies and data orchestration tools (Airflow, DBT)., • Familiarity with LLM integration and optimisation in production environments., • Excellent problem-solving, analytical, and communication skills., • Experience fine-tuning LLMs (e.g. Unsloth, cloud-based methods).

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

CUDA/GPU Systems Engineer (ML Infra) Remote We’re partnering with a well-funded AI company building advanced multi-agent systems. They’re looking for engineers with experience working close to the GPU layer. This is a CUDA-heavy role focused on improving the performance of large-scale machine learning systems. You’ll be solving problems like: • Optimising CUDA kernels for ML workloads, • Improving GPU utilisation and memory efficiency, • Profiling and debugging GPU bottlenecks, • Accelerating training and inference pipelines, • Working alongside ML researchers building multi-agent AI systems Essentials: • Strong CUDA / GPU programming experience, • Experience writing or optimising CUDA kernels, • Strong C++ and/or Python, • Experience working with machine learning systems, • Experience could come from LLMs, computer vision, speech, recommendation systems, or other ML domains. Nice to have: • PyTorch / TensorFlow internals, • Distributed training (NCCL, DeepSpeed, Megatron, Horovod, etc), • GPU performance engineering or HPC background

My client, undoubtedly one of the most exciting start-ups in the AI + Semiconductor space is looking for a Principal Analog Verification Engineer to join their team in Oxford. This role could also be based fully remotely, plus a superb salary. If you’re looking to do something completely different and really make an impact, read on. With substantial financial backing and a strong roadmap ahead of them, my client has the potential to completely transform semiconductor development. With a machine learning group already in place, they are now building a new analog team and seek an experienced Analog IC engineer with the desire and capability to shape and grow this new group. As the Senior / Principal Analog Verification Engineer you will be tasked with driving the creation of a machine-learning analog verification flow, creating and simulating transistor level circuits, as well as debugging and rectifying simulation and modelling issues. Our client is aiming to build a strong team, and so you will be key in helping to identify, recruit and mentor future Analog Verification Engineers. The key essentials are: • A BSc / MSc / PhD qualification within Electronic Engineering or similar, • Extensive industry experience within either Analog IC Design or Analog Verification, • A strong handle on Verilog-A (SystemVerilog would be an added bonus), • A background working within the power management space I’m looking for a great communicator who is excited to roll up their sleeves and help shape this fast-growing startup. An exceptional salary is on offer for the right candidate – my client can hire at Senior or Principal level. If this sounds like you, get in touch! Contact Caroline Pye @ IC Resources.

SAP Core Banking Lead Level: Associate Manager Location: London / Bristol / Manchester Industry: Financial Services Consulting Salary: £70,000 to £80,000 + benefits and bonus About the Role Our client is a global professional services powerhouse, operating at massive scale across strategy, consulting, technology, and operations. They work with the world’s largest banks, governments, and institutions to modernise core platforms that underpin national and global financial systems. This role sits within their Banking Transformation practice, focused on the migration of SAP Banking Services 9 to SAP S/4HANA Transactional Banking (TRBK). These are not pilot projects or proofs of concept. This is enterprise-grade transformation, delivered at scale, for major banking clients. You will be trusted with real responsibility from day one, working directly with senior client stakeholders and leading critical parts of complex SAP Core Banking programmes. Flexibility and mobility are required, as client presence is a key part of how this organisation delivers outcomes. What You’ll Be Doing • Leading SAP S/4HANA Transactional Banking (TRBK) transformation programmes for major banking clients., • Driving platform consolidation, data migration, and process harmonisation across legacy and modern banking estates., • Acting as a recognised SAP Core Banking subject matter expert within large, multi-disciplinary delivery teams., • Defining target-state architectures covering deposits, lending, payments, and account management., • Designing and deploying SAP Core Banking components including TRBK, Payments Central, and SAP Fioneer solutions., • Working closely with senior business and IT stakeholders in Retail Banking, Commercial Banking, and Payments., • Leading application design and development activity, owning delivery quality and outcomes., • Mentoring consultants and helping grow the SAP Banking capability within the wider transformation practice., • Supporting sales and pre-sales activity by shaping credible, value-led SAP Core Banking solutions. You will bring: • Deep hands-on experience with SAP S/4HANA Core Banking and Transactional Banking (TRBK)., • Proven involvement in SAP Core Banking upgrades or migrations, ideally within large banking environments., • Strong knowledge of SAP Payments Central, Product Factory, and Business Partner integration., • Experience leading technical design and contributing to cross-team architectural decisions., • Confidence working in complex, client-facing delivery environments., • Understanding of banking regulations, risk, and compliance requirements., • Strong communication skills and the credibility to operate at senior stakeholder level. Nice to have: • SAP ABAP for HANA., • SAP Fioneer solutions., • Exposure to platforms such as Temenos, Mambu, or Thought Machine., • Agile delivery experience (SAP Activate, SAFe). What You’ll Receive • Base salary of £70,000 to £80,000, depending on experience., • Clear, structured progression within a global consulting organisation known for promoting from within., • Exposure to some of the largest and most complex SAP Core Banking transformation programmes globally., • The chance to build a long-term career at the centre of banking technology change., • Access to world-class delivery frameworks, tooling, and learning pathways. Who This Role Suits Best This role is ideal for SAP Core Banking specialists who want: • Bigger programmes, higher stakes, and real delivery ownership., • Exposure to tier-one banking clients., • A clear step into Associate Manager–level leadership., • The credibility that comes from delivering transformation at global scale. This is not a junior or back-office role. It suits people who want ownership, client exposure, and progression within a global transformation practice delivering enterprise-scale SAP programmes.

Key Responsibilities: • Lead the design and delivery of end-to-end AI/ML solutions aligned to organisational strategy and operational objectives., • Define scalable, secure, and maintainable AI architectures, covering data pipelines, model lifecycle management, deployment, and monitoring., • Establish architectural standards, design patterns, and engineering best practices., • Provide technical oversight across the full AI lifecycle: concept, prototyping, production deployment, and optimisation., • Review and approve solution designs produced by AI Solution Engineers and wider delivery teams., • Lead, mentor, and develop AI Solution Engineer(s) and associated technical staff., • Set technical direction and ensure consistency in engineering standards across AI initiatives., • Conduct code and design reviews to ensure quality, security, and maintainability., • Identify capability gaps and drive upskilling across the AI team., • Foster a collaborative, high-performance engineering culture., • Own technical delivery of AI solutions, ensuring alignment with scope, timelines, and quality expectations., • Oversee deployment of AI systems into secure or controlled environments., • Ensure compatibility of AI solutions with DevSecOps pipelines and enterprise technology stacks., • Define and monitor performance metrics for deployed models, ensuring operational effectiveness and reliability., • Lead remediation and optimisation efforts when performance, compliance, or operational risks arise., • Embed ethical AI principles, including fairness, explainability, auditability, and transparency, into solution design., • Ensure compliance with data governance, security, and regulatory requirements., • Support accreditation and assurance activities within regulated or defence environments., • Identify, assess, and mitigate technical risks associated with AI deployment., • Translate operational or business requirements into AI-enabled solution approaches., • Engage senior stakeholders, providing clear technical briefings and strategic recommendations., • Contribute to AI capability roadmaps and innovation strategies., • Lead technical input into bids, proposals, or programme planning activities where required., • Conduct horizon scanning to evaluate emerging AI technologies and assess relevance to operational use cases., • Drive continuous improvement of AI engineering practices, tooling, and delivery methods., • Champion adoption of MLOps practices to enhance repeatability, traceability, and scalability. The successful candidate will be a technically astute AI Solution Lead who thrives on engineering execution to realise enterprise goals.You will be responsible for designing and sustaining AI/ML solutions that align with the Army Collective Training Service (ACTS) architectural vision. The AI Solution Lead must possess a deep understanding of AI technologies, with the ability to leverage data insights for model development and optimisation using frameworks such as TensorFlow and PyTorch, while also driving intelligent process automation across the machine learning lifecycle through platforms like Azure Machine Learning. This role is pivotal in aligning AI technology with architecture vision and goals, ensuring secure, interoperable systems to drive and automate data driven decision making. Essential Skills and Experience: • Extensive experience in leading technical teams designing and delivering end-to-end AI/ML solutions from concept to production within regulated or controlled environments., • Strong Python expertise and deep knowledge of ML frameworks, • Experience defining scalable ML architectures, including lifecycle management, monitoring, and resilience strategies, • Experience overseeing deployment using containerisation and orchestration platforms and governing CI/CD and MLOps practices, • Strong understanding of API-led integration within enterprise systems, • Experience embedding responsible AI principles into architectural design, • Strong understanding of secure coding, data protection, and governance frameworks, and experience supporting accreditation or assurance processes, • Accountability for technical risk identification and mitigation, • Experience translating operational requirements into AI-enabled capabilities, • Ability to engage and influence senior stakeholders, • Experience defining AI roadmaps and technical strategy, • Strong decision-making capability balancing innovation, risk, and operational constraints, • Proven experience leading, mentoring, and developing AI/ML engineers, • Strong systems-level analytical thinking, • Ability to operate autonomously with accountability for outcomes, • Degree in relevant discipline or equivalent senior-level experience JBRP1_UKTJ

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Staff Software Engineer – AI/ML (Agentic AI) Engineering | UK Remote / London (hybrid) Overview My client is a fast-growing, product-led technology company investing heavily in AI and next-generation machine learning solutions. They are seeking a Staff Software Engineer with experience in agent-based AI systems to help design and deliver advanced AI-driven products. The Role This is a hands-on technical leadership role focused on building scalable AI/ML systems, with a particular emphasis on agentic AI and modern machine learning approaches. You will play a key role in shaping technical direction, establishing best practices, and delivering high-quality systems from concept through to production. The role also involves mentoring engineers and contributing to the growth of a high-performing team. Key Responsibilities Project Ownership • Lead the design and delivery of AI/ML initiatives across the full lifecycle, • Build and deploy models, data pipelines, and production systems Cross-Functional Collaboration • Work closely with Engineering, Product, and DevOps teams, • Support integration of AI capabilities into wider platforms Technical Leadership • Provide guidance on AI/ML frameworks, tools, and best practices, • Contribute to the development of agent-based AI systems and workflows Mentorship & Communication • Mentor engineers and support technical development, • Promote strong collaboration across teams Problem Solving & Optimisation • Identify and resolve challenges in AI/ML systems, • Improve performance, scalability, and reliability Governance & Quality • Ensure high standards around model performance, data quality, and compliance Documentation & Knowledge Sharing • Maintain clear documentation and contribute to internal best practices Skills & Experience • 7+ years’ experience in AI/ML engineering, including production systems, • 3+ years in a technical leadership role, • Strong programming skills (e.g. Python or similar), • Experience with machine learning, data pipelines, and scalable systems, • Knowledge of modern AI approaches, including large language models and agent-based systems, • Experience working with cloud platforms (AWS, GCP, or Azure), • Understanding of distributed systems and scalable architectures, • Experience with CI/CD, microservices, and MLOps practices, • Ability to mentor and support engineers, • Strong collaboration and communication skills, • Experience working in Agile environments, • Degree in a relevant technical field (or equivalent experience) Tech Environment (indicative) • Backend languages (e.g. Python or similar), • Cloud platforms (AWS / GCP / Azure), • Containerisation and orchestration tools, • Infrastructure as code, • Observability and ML tooling, • Modern AI/LLM frameworks, • Relational and non-relational databases, • Version control and CI/CD tooling Benefits • Competitive salary, • 25 days’ annual leave + bank holidays, • Sick pay package, • Flexible / remote working, • Enhanced parental leave, • Pension scheme, • Career development opportunities Additional Information This role is not eligible for visa sponsorship.

Robotic Process Automation (RPA) Developer Organisation Overview We're seeking an experienced Robotic Process Automation (RPA) Developer to support a policing organisation in modernising and streamlining its operational and administrative processes. This contract role is ideal for someone who thrives in secure, high-stakes environments and can translate complex policing workflows into robust, automated solutions. Role Summary In response to ongoing strategic initiatives and increasing demand for automation expertise, Our Client is seeking an experienced RPA Developer. This pivotal role is designed to enhance their automation capabilities and support digital transformation projects. The position offers an exciting opportunity to shape technological advancements, contribute to impactful solutions, and work at the forefront of automation innovation. Responsibilities • You'll be required to come in and deliver end-to-end solutions, starting with the discovery phase, • Design, develop, and implement automation scripts and solutions using leading RPA tools, • Collaborate with business stakeholders to understand requirements and translate them into technical automation workflows, • Test, debug, and optimise RPA processes to ensure efficiency, accuracy, and reliability, • Maintain documentation and version control for automation assets, • Support deployment and integration of RPA solutions within existing systems, • Provide ongoing maintenance and updates to automation solutions as needed, • Stay abreast of industry best practices and emerging trends in robotic process automation Essential Skills & Experience • Proven experience developing RPA solutions with Blue Prism, • Strong programming skills in languages relevant to RPA development, • Solid understanding of process mapping, analysis, and optimisation techniques, • Experience integrating RPA tools with enterprise systems and databases, • Ability to troubleshoot technical issues and implement effective solutions, • Excellent communication skills to liaise effectively with technical and non-technical teams, • Demonstrable experience delivering automation projects within a corporate environment Essential Skills & Experience • Knowledge of AI and machine learning integrations with RPA, • Experience working with a Police Force, • Strong experience with Blue Prism, • Familiarity with Agile or Scrum methodologies, • Previous exposure to cloud-based automation deployment, • Certifications in recognised RPA platforms or related fields, • Experience working in a regulated industry environment Call to Action If you are a motivated RPA Developer ready to make a significant impact within a forward-thinking organisation, we invite you to submit your CV for consideration. Join our client's team and be part of shaping the future of automation technology. JBRP1_UKTJ

CV Technical Pricing Manager Location: Primarily remote with occasional travel. Offices located in Haywards Heath, London and Manchester. Role Overview We are seeking an experienced Risk Pricing Manager to join a quickly growing and developing pricing department focusing on Motor and in particular Commercial Vehicle. As a Pricing Manager in the Motor Risk Pricing team, you will be responsible for the pricing of Commercial Vehicles, including the following core activities: • Be a key stakeholder influencing the direction & outcome of projects, • Advance the adoption of data science & statistical techniques, • Develop reporting structures to monitor pricing performance in an automated fashion Key Responsibilities • Maintain and improve the pricing process to meet business requirements., • Develop and maintain risk models, leveraging both traditional and machine learning techniques., • Support delivery of the pricing & underwriting business plan across Motor., • Work with the Data Science and Machine Learning teams to define and automate data ingestion, modelling, analysis, model monitoring and reporting., • Advance the adoption of the latest data science & statistical techniques across pricing & underwriting., • Research and leverage new and existing data sources; capturing and explaining trends with innovative data features., • Clearly communicate results and proposed actions to key decision makers across the business., • Champion and facilitate automation of reporting, data pipelines and quality assurance., • Manage, coach and mentor team members, driving a culture of development and excellence across the team., • Experience managing general insurance products and/or pricing teams, including knowledge of current trends and issues in motor or home pricing., • Experience with some of the following predictive modelling techniques; GLMs, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering, with knowledge of the technical differences between different packages for some of these model types would be an advantage., • Experience in statistical and data science programming languages (e.g. Python, PySpark, R, SAS, SQL), • Experience of WTW's Radar software is preferred., • Proficient at communicating results in a concise manner both verbally and written., • Good communication and people management skills, • Driven to deliver iterative improvements in a timely fashion, • Self-motivated with a drive to learn and develop, • Logical thinker with a professional and positive attitude, • Passion to innovate, improve processes and challenge the norm JBRP1_UKTJ

Job title: Senior Machine Learning Engineer 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., • 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 JBRP1_UKTJ

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!

The role involves building production-ready models for content extraction and collaborating closely with teams to develop effective solutions. Candidates should have strong experience in Document AI and Python, with a focus on machine learning and generative AI.

A consulting and solutions provider in Sheffield seeks a Machine Learning Developer to enhance AI-driven initiatives.Responsibilities include building and refining ML models, collaborating with cross-functional teams, and working with innovative technologies like Document AI and Python.Candidates sh

Maintenance Technician * Are you an experienced Maintenance Technician? * Do you want to work for a well established business? * Do you want career progression opportunities? If so, APPLY NOW! Due to continued expansion, we are recruiting an experienced Maintenance Technician to join our well established client on a permanent basis. Key Tasks and Duties: * Work within the ethos and standards of the company. * Troubleshoot and repair of all factory equipment - electrical, electronic, pneumatic and mechanical. * Identify the root causes of problems and suggest process improvements for long term solutions. * Ensure production efficiency is maximised and return production to full capacity promptly. * Ensure that all breakdowns are recorded in Pemac CMMS system. * Carry out Preventative Maintenance work as required by PM schedules and suggest improvements. * Maintain systems in place for spare parts stock and ensure system is being correctly utilised. * Dismantle, adjust, modify, improve and assemble factory equipment according to layout plans, blueprints, operating/repair manuals, or drawings. * Take an active part in all machine installations, continuous improvements and maintenance projects. * Work with Maintenance Manager to address causes of downtime and suggest process improvements. * Responsible as part of a bigger team for ensuring that all production & maintenance KPI’s are achieved. * Responsible for ensuring a safe, clean working environment and carrying work in a safe manner ensuring safety standards are met. * Undertake training as and when required i.e. MEWP, Forklift, Abrasive Wheel, PFPE, Manual Handling, Fire Extinguisher, etc. * Complete advanced training i.e. Confined Spaces, First Aiders, etc. * Actively participate in Continuous Improvement projects. * Provide Apprentice & Trainee’s with assistance and guidance in learning and development. Key Attributes: * Mechanical/Electrical based apprenticeship or equivalent qualification. * Min 4+ years’ Maintenance Technician experience preferably in a manufacturing environment. * Multi Skilled Technician Experience e.g. Mechanical & Electrical. * Decisive & Ability to make decisions quickly and effectively to meet deadlines. * Excellent numeric and analytical skills. * Highly motivated with proven ability to work on own initiative. * Ability to multi task with strong attention to detail. * Team player who will work with others to achieve company goals. * Methodical with excellent organisational and communication skills. * Excellent problem solving skills. * Ability to multi-task on technical issues. This is permanent role, continental 12 hour shifts, rotating between days and nights: 4 days, 4 off, 4 nights, 4 off. Starting salary: £50,930.81 Per Annum

Trainee AI Engineer - No Experience Needed! Ready to launch a future-proof career in AI - even if you have zero experience? We’re looking for ambitious individuals ready to break into the world of artificial intelligence and data science. Our industry-leading AI Traineeship is designed to take you from complete beginner to a highly employable Junior AI Engineer, with full training provided and a guaranteed job offer (£25K-£45K starting salary) within 20 miles of your location. Whether you're working full-time, part-time, or currently unemployed, our flexible, self-paced program allows you to train around your lifestyle and be job-ready in as little as 6-12 months. How it works - your journey to AI success Step 1: Discover AI Start your journey with our beginner-friendly mini-course bundle. Explore the fundamentals of AI through interactive videos, presentations, and quizzes - all accessible anytime, anywhere, through our easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping you build confidence and a strong portfolio as you learn. Step 3: Get Certified Prepare for and earn your Microsoft AI-900: Azure AI Fundamentals certification, an internationally recognised qualification that proves your knowledge and boosts your credibility with employers. Step 4: Real-World Projects Showcase your new skills with two industry-based, practical projects assigned by your personal tutor. These projects are designed to give you real, portfolio-worthy experience, making you stand out to employers from day one. Your guaranteed future After completing your training, you'll be placed in a Junior AI Engineer role with a guaranteed starting salary of £25K-£45K. We work with top employers across the UK to ensure you get matched with a role close to home. We guarantee a job offer upon completion or 100% of your course fees refunded. We’re proud to have helped over 1,000 people each year transform their careers. Explore our success stories on our website and see what your future could look like. At a one off cost of £990, or a deposit of £149 followed by 10 interest free monthly instalments of £124, this represents a great opportunity to start a rewarding career in Ai and have a real career ladder to start climbing. If you are not offered a role at the end of the training we will refund 100% of your course fees. Ready to future-proof your career? If you’re passionate about tech and ready to break into one of the fastest-growing industries in the world, apply now. One of our friendly advisors will be in touch to guide you through the next steps. ‘Please note that this is a training course and fees apply

Data Scientist Placement Programme - No Experience Required Our training will help you kick-start a new career as a Data Scientist. We are recruiting for companies who are looking to employ our Data Science Traineeship graduates to keep up with their growth. The best part is you will not need any previous experience as full training will be provided. You will also have the reassurance of a job guarantee within 20 miles of your location upon completion. Whether you are working full time, part-time or unemployed, this package has the flexibility to be completed at a pace that suits you. The traineeship is completed in 4 easy steps, you can be placed into your first role in as little as 6-12 months: Step 1 - Full Data Science Career Training You will begin your data science journey by studying a selection of industry-recognized courses that will take you from beginner level all the way through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI, and much more. You will also complete mini projects to gain practical experience and test your skills while you study. This step will fully prepare you for the professional projects that you will undertake in step 4 of this process. At the end of this step, you will complete a short online multiple-choice exam to showcase your understanding of the courses before moving on to step 2. Step 2 - CompTIA Data+ CompTIA Data+ is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making. It teaches Data Mining, Visualization, Data Governance & Data Analytics. In any industry, gaining official certifications is very important in the recruitment process. Therefore, this globally recognized certification will enhance your CV and make you stand out from the crowd. Step 3 - Official Exam The CompTIA Data+ exam will certify that you have knowledge and skills required to transform business requirements in support of data-driven decisions through mining and manipulating data, applying basic statistical methods, and analysing complex datasets while adhering to governance and quality standards. The exam is 90 minutes long and can be sat either in your local testing centre or online. Step 4 - Practical Projects Now that you have completed your theory training and official exams, you will be assigned 2 practical projects by your tutor. The projects are the most important part of the traineeship as it will showcase to employers that you have skills required to work in a data science role. The projects will use real world scenarios where you be utilising all of the skill that you have learned. Whilst you are progressing through the projects, you will have the ongoing support from your personal tutor. Once both projects have been completed and given the final sign off, you will have completed the traineeship and will be ready to move onto the recruitment stage. Your Data Science Role Once you have completed all of the mandatory training, which includes the online courses, practical projects and building your own portfolio, we will place you into a Data Scientist role, where you will be guaranteed a great starting salary. We have partnered with a number of large organisations strategically located throughout the UK, providing a nationwide reach of jobs for our candidates. At a one off cost of £1495, or a deposit of £212 followed by 10 interest free monthly instalments of £148, this represents a great opportunity to start a rewarding career in IT and have a real career ladder to start climbing. If you are not offered a role at the end of the training we will refund 100% of your course fees. Read through the information? Passionate about starting a career in data science? Apply now and one of our friendly advisors will be in touch. ‘Please note that this is a training course and fees apply

We're looking for a Machine Learning Engineer to design, build, and deploy data-driven models that solve complex problems and enhance real-world performance. Develop, train, and optimise machine learning models to support business and technical objectives.

We're looking for a Machine Learning Engineer to design, build, and deploy data-driven models that solve complex problems and enhance real-world performance. Develop, train, and optimise machine learning models to support business and technical objectives.

Machine Learning Engineer (Python / MLE ). We are looking for a number of MLE / Machine Learning Engineers for a critical 6 month contract with a household name. This role is essential for maintaining the stability and performance of their core data and Machine Learning systems.

Location: LondonWork model: Hybrid| 3 days travel per week across the UK, with expenses fully coveredSalary: Up to £125,000 + PackageSole British National - Eligible for security clearanceWho youll be working with:As a Lead Machine Learning Engineer, youll drive the technical direction of complex A

As a Machine Learning Engineer (NLP), you will work with our small but growing team and play an active role in building our Machine Learning/NLP capability. Machine Learning Engineer (NLP). As Machine Learning Engineer (NLP), you will be responsible for:.

Senior Machine Learning EngineerLocation: LondonWork model: Hybrid | 2 days on site Salary: Up to £110,000 + PackageSole British National Eligible for security clearanceWho youll be working with:Youll join a team of expert AI engineers delivering high-stakes, mission-critical AI solutions. As a Se

In role, you will head up the Data Science/Machine Learning team and drive the implementation of AI into all practices across the company, including their core SaaS products which are used by many wealth management, banks and FinTech firms. The Role – Head of Machine Learning. Good experience in M

Research Associate in Machine Learning (SS13519) - Bath, BA2 7AYAbout the roleThis project will develop new machine learning techniques to enable efficient production of bespoke products, such as medicines in a high-volume, high-variation manufacturing setting. Relevant areas of research include rei

SAP IBP Demand Consultant - Machine Learning Integration (BPSS) Rate: £90/hr | Mostly WFH (some visits to Walton-on-Thames) Clearance: BPSSWe are seeking a SAP IBP Demand Consultant to support the productionisation of a new external Python-based forecasting algorithm.

You’ll say hands‑on while leading and mentoring a team of Machine Learning Engineers, helping them grow technically and professionally. Design, implement and standardise end‑to‑end machine learning pipelines using Vertex AI Pipelines, Model Registry, and Cloud Run, with a strong focus on rel

Develop machine learning systems with real-world impact (~90%):. Stay informed about the latest advances in machine learning. We are seeking a highly capable machine learning researcher with deep expertise in generative modeling.

Lead the development and maintenance of machine learning models to solve complex business problems. Stay updated with the latest advancements in machine learning and especially Large Language Models and agentic systems. Experience leading teams to deliver production machine learning solutions.

A Bachelor's degree and proficiency in Python and machine learning frameworks are required. A leading AI research firm in the UK is looking for a Research Engineer specializing in reinforcement learning.