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Head of Software Engineering (Scala)
Morson Edge Manchester, Lancashire
Jun 11, 2026
Full time
Head of Software Engineering (Scala) Manchester (Hybrid) | Permanent Up to £140,000 + 20% Bonus Lead the Future of AI Engineering An exciting opportunity has arisen to join a rapidly growing, global AI technology scale-up as their next Head of Software Engineering . Based in Manchester, you'll play a pivotal role in shaping the engineering function of an innovative business delivering cutting-edge AI solutions to customers around the world. This is an opportunity to combine strategic leadership with technical excellence, helping to scale both technology and teams during a period of significant growth. The Opportunity As Head of Software Engineering, you will lead a talented, small high-performing team of software engineers and technical specialists. You'll be responsible for setting the engineering direction, driving best practices, and ensuring the successful delivery of robust, scalable products that support the company's ambitious global growth plans. Working closely with senior stakeholders across the business, you'll help define the technology roadmap, foster a culture of collaboration and continuous improvement, and create an environment where engineers can thrive. Key Responsibilities Lead, mentor and develop a small team of software engineers and technical professionals. Define and execute the engineering strategy in alignment with business objectives. Drive the delivery of high-quality, scalable software solutions. Champion engineering excellence, modern development practices and continuous improvement. Collaborate with Product, Data and Leadership teams to shape product direction and technical priorities. Support recruitment, succession planning and capability development as the organisation scales. Ensure operational resilience, security and performance across engineering platforms. About You You'll be an experienced engineering leader who enjoys building empowered teams and delivering impactful technology solutions within fast-paced environments. You'll bring: Previous experience leading and developing software engineering teams. Strong stakeholder management and communication skills. A strategic mindset balanced with a hands-on understanding of modern software development. Experience working within high-growth technology businesses, ideally within a scale-up environment. Desirable Technical Experience Experience with the following technologies would be highly advantageous: Scala TypeScript AWS (Amazon Web Services) Exposure to AI, machine learning platforms, data-intensive applications or cloud-native architectures would also be beneficial. What's on Offer? Salary up to £140,000 20% annual bonus Hybrid working based in Manchester The opportunity to influence the future direction of a global AI scale-up. A collaborative, entrepreneurial culture where your ideas can make a real impact. Excellent opportunities for professional growth and leadership development.
Machine Learning Engineer
Digital Waffle
Jun 11, 2026
Full time
Machine Learning Engineer An AI-driven start-up, backed by $20M in Series A funding, is looking for its first Machine Learning Engineer to help scale their product and infrastructure. The platform transforms educational content into smart, personalised learning tools - and is already seeing rapid user growth and strong traction in the market. This is a unique opportunity to join early, influence the technical roadmap, and work directly with experienced founders and a senior engineering team. What you'll be doing: Designing, building and deploying ML-powered features across a production platform Working across Python and TypeScript, integrating models into scalable, real-time systems Fine-tuning and training NLP models using techniques like transformers Driving the machine learning strategy and building best practices from the ground up Collaborating closely with product, engineering, and leadership What we're looking for: Strong commercial experience building and deploying ML models in production Proficiency in Python and familiarity with TypeScript/JavaScript Experience with NLP or recommendation systems is a bonus Excited by start-ups: product-minded, hands-on, and motivated by impact What's on offer: £100,000 - £120,000 salary + meaningful equity 4 days/week in a modern London office near Liverpool St Greenfield ML ownership with direct access to founding team A chance to shape the future of an AI product already loved by users
Senior AI/ML Engineer (LLM's / RAG Pipeline Development)
Hays Specialist Recruitment Limited Guildford, Surrey
Jun 11, 2026
Full time
Senior AI/ML Engineer (LLM's / RAG Pipeline Development)Guildford, Surrey (Fully Onsite)£85000 - £125,000 + 25% Bonus, 10% Pension, Private Medical.- Must have a Masters or PhD Degree in a STEM/Computing discipline.- Must work full-time, 5 days a week in the Guildford office.- Must have deep experience in LLM development and deployment. Your new company You'll be joining a fast-growth, highly respected software engineering business that applies advanced modelling, data science, and machine learning to solve complex, real-world problems at scale.Their technology underpins critical decision-making in high-value environments, combining deep domain expertise with modern engineering practices. With a strong track record of success and a growing international footprint, the company is investing heavily in AI as a core pillar of its future.You will be working full-time in their head office location in the heart of Guildford close to the University and with excellent transport to London and the surrounding areas in Surrey. Your new role The key to this role is hands-on experience designing, building, and deploying LLM-based applications into production environments.We're looking for a Senior Engineer who can bridge the gap between advanced AI/ML and production-grade software, taking models from concept through to scalable deployment. It is not purely an AI/ML role, nor is it a pure coding role - it sits in between the two disciplines as part of a newly formed team within an R&D department helping to instil best practice.You'll have the opportunity to influence how AI capability is embedded into a well-established product suite, balancing greenfield innovation with enhancing existing platforms. Working across structured, unstructured and streaming data, you'll contribute to modern AI approaches and help shape how data drives product capability.It's a well-established business with decades of experience taking them a market leading position. Building on an impressive 2024 they pushed towards 100 headcount and have the investment and product positioning to double this in the coming 12 months, with a particular focus on the Engineering team. Given this imminent growth there are leadership opportunities to aspire to down the line.It's genuinely challenging applied AI in a complex domain. If you're motivated by seeing your work have tangible impact in production, this is an opportunity to operate at a level most roles don't offer. What you'll need to succeed This role requires existing Senior level experience in AI/ML roles, 3+ years working hands-on experience designing, building, and deploying LLM-based applications into production environments, not just experimentation.You must have proven experience working with C++/C# (ideally integrating ML features into C++ applications), and at least one high-level scientific language (e.g., Python, Julia) working at the interface of research and software development.You will possess strong technical leadership skills and will be motivated to drive engineering best practices and standards.You must have an advanced Degree in a STEM/Computing discipline and ideally a background in scientific computing, time-series data, or complex data environments. What you'll get in return You'll work for a technology focused company building innovative products. There's an excellent rewards scheme in place including an annual bonus up to 25%, 10% pension match, private healthcare, 25 days holiday and long term sick cover. There is parking on site or a shuttle bus for train commuters to Guildford and a modern office space with excellent amenities. What you need to do now To find out more and to be considered for this position please apply directly, or contact Max Wilcock, Senior Business Director on .At Hays Technology, we are shaping the future of recruitment. The rapid adoption of cloud, which is making customer interfaces more engaging and creating a seamless engagement with businesses, means that from the foundation of your organisation up, software developers are critical to success. As the competition for talent grows, we're ready and waiting to help developers really make an impact on organisations, so talk to us today. We are Hays Technology. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk
Lead ML Engineer - 12 Month FTC
Harnham - Data & Analytics Recruitment Leeds, Yorkshire
Jun 11, 2026
Full time
Lead ML Engineer (12-month FTC) £80,000 - £90,000 Remote (UK Based Only) This is a rare opportunity to step into a senior, hands-on ML Engineering role where you will shape how machine learning is delivered, scaled, and embedded across a large, complex organisation. THE COMPANY They are a large, well-established professional services organisation with a strong reputation for quality, trust, and long-term client relationships. Data and AI are a strategic priority, with significant internal backing to move from successful proof of concepts to robust, production-grade platforms. THE ROLE As a Lead ML Engineer, you will take ownership of ML Engineering delivery end-to-end, helping define best practice while remaining highly hands-on. Specifically, you can expect to be involved in the following: Leading the ML Engineering capability and contributing to the wider data and AI strategy. Designing, building, and productionising ML pipelines aligned to business goals. Delivering NLP and LLM-driven solutions, including fine-tuning and deployment. Implementing strong MLOps practices across model training, deployment, and monitoring. Working closely with Data Scientists to support, maintain, and improve models in production. Building APIs and data products that enable ML solutions to be consumed across the business. SKILLS AND EXPERIENCE The successful Lead ML Engineer will have the following skills and experience: Commercial experience delivering ML solutions end-to-end. Strong Python and SQL skills, with experience building data and ML pipelines. Hands-on experience with Databricks and Azure. Practical experience with NLP and LLMs, including fine-tuning and applied use cases. Solid understanding of MLOps, CI/CD for ML, and production model monitoring. Exeperience with stakeholders and translating business problems into technical solutions. Experience building or integrating APIs, such as with FastAPI, is beneficial. BENEFITS The successful Lead ML Engineer will receive the following benefits: Salary between £80,000 - £90,000 - depending on experience HOW TO APPLY Please register your interest by sending your resume to Majid Latif via the Apply link on this page.
Lead ML Engineer - 12 Month FTC
Harnham - Data & Analytics Recruitment Newcastle Upon Tyne, Tyne And Wear
Jun 11, 2026
Full time
Lead ML Engineer (12-month FTC) £80,000 - £90,000 Remote (UK Based Only) This is a rare opportunity to step into a senior, hands-on ML Engineering role where you will shape how machine learning is delivered, scaled, and embedded across a large, complex organisation. THE COMPANY They are a large, well-established professional services organisation with a strong reputation for quality, trust, and long-term client relationships. Data and AI are a strategic priority, with significant internal backing to move from successful proof of concepts to robust, production-grade platforms. THE ROLE As a Lead ML Engineer, you will take ownership of ML Engineering delivery end-to-end, helping define best practice while remaining highly hands-on. Specifically, you can expect to be involved in the following: Leading the ML Engineering capability and contributing to the wider data and AI strategy. Designing, building, and productionising ML pipelines aligned to business goals. Delivering NLP and LLM-driven solutions, including fine-tuning and deployment. Implementing strong MLOps practices across model training, deployment, and monitoring. Working closely with Data Scientists to support, maintain, and improve models in production. Building APIs and data products that enable ML solutions to be consumed across the business. SKILLS AND EXPERIENCE The successful Lead ML Engineer will have the following skills and experience: Commercial experience delivering ML solutions end-to-end. Strong Python and SQL skills, with experience building data and ML pipelines. Hands-on experience with Databricks and Azure. Practical experience with NLP and LLMs, including fine-tuning and applied use cases. Solid understanding of MLOps, CI/CD for ML, and production model monitoring. Exeperience with stakeholders and translating business problems into technical solutions. Experience building or integrating APIs, such as with FastAPI, is beneficial. BENEFITS The successful Lead ML Engineer will receive the following benefits: Salary between £80,000 - £90,000 - depending on experience HOW TO APPLY Please register your interest by sending your resume to Majid Latif via the Apply link on this page.
Lead Data Scientist
Adria Solutions Manchester, Lancashire
Jun 11, 2026
Full time
Lead Data Scientist - Manchester My client is seeking a Lead Data Scientist to own and drive the end-to-end data science strategy across high-impact business domains (e.g., risk, fraud, affordability, customer value). This role will translate complex, real-world financial data into production-grade machine learning systems that deliver measurable commercial and customer outcomes. The successful candidate will lead model development from ideation through deployment and monitoring, working closely with Data Engineers, Analysts, Product, Risk, and Technology stakeholders. They will set standards for experimentation, governance, and MLOps while mentoring and developing other data scientists within the function. This is a hands-on technical leadership role - both strategic and delivery-focused. The Role Strategic & Technical Leadership Define and evolve the data science roadmap aligned to business priorities. Identify high-value ML use cases and translate commercial problems into scalable analytical solutions. Lead end-to-end model lifecycle delivery: problem framing, feature engineering, experimentation, validation, deployment, monitoring, and iteration. Establish best practices for experimentation, evaluation, reproducibility, and documentation. Set standards for model governance, explainability, monitoring, and auditability within a regulated financial environment. Machine Learning & Delivery Architect and develop robust ML models (e.g., classification, regression, anomaly detection) using Python and cloud-based tooling. Design scalable feature pipelines in collaboration with Data Engineering. Lead productionisation efforts, including pipeline design, model versioning, and monitoring frameworks. Implement safe deployment strategies (e.g., champion/challenger models, shadow runs, A/B testing). Ensure model performance, drift detection, and continuous improvement processes are embedded. Stakeholder Engagement Partner with Risk, Compliance, Product, and Technology teams to ensure solutions are commercially viable and regulator-ready. Communicate complex modelling approaches and outcomes clearly to senior stakeholders and non-technical audiences. Influence strategic decision-making through insight and evidence-based recommendations. Governance & Risk • Own model documentation (model cards, lineage, assumptions, validation evidence).• Embed privacy-by-design, fairness, and bias monitoring practices.• Operate confidently within FCA-regulated environments and support audit and regulatory requirements. Team Leadership • Mentor and coach junior and mid-level data scientists.• Lead code reviews and promote engineering best practice (Git, testing, CI/CD awareness).• Contribute to hiring, technical assessment, and capability development.• Foster a culture of curiosity, collaboration, and high performance. About the Candidate The ideal candidate is commercially minded, technically strong, and delivery-focused. They understand that high-quality models create value only when deployed safely and embedded into business processes. They will be comfortable owning ambiguity, setting direction, and raising technical standards. They will combine statistical rigour with pragmatic decision-making and be confident influencing senior stakeholders. They will enjoy mentoring others and developing team capability alongside delivering impactful work. What My Client Is Looking For: • Significant hands-on experience building and deploying machine learning models into production environments.• Strong Python expertise (e.g., pandas, scikit-learn, ML frameworks) with production-quality coding standards.• Advanced SQL skills and deep understanding of relational data.• Strong statistical foundations and model validation expertise.• Experience working within cloud-based data platforms (AWS or equivalent).• Demonstrable experience productionising models and implementing monitoring frameworks.• Experience operating within a regulated environment (financial services preferred).• Ability to communicate effectively with senior stakeholders.• Experience mentoring or leading other data scientists. Desirable • Experience in credit risk, fraud detection, affordability modelling, or payments analytics.• Familiarity with model risk management frameworks.• Exposure to MLOps tooling (CI/CD pipelines, automated testing, model registries).• Experience with model explainability techniques (e.g., SHAP, LIME).• Experience shaping data science roadmaps or leading multiple concurrent initiatives. Benefits Hybrid working Training and development budget Flexible working Interested? Please Click Apply Now! Lead Data Scientist - Manchester
Lead ML Engineer - 12 Month FTC
Harnham - Data & Analytics Recruitment Edinburgh, Midlothian
Jun 11, 2026
Full time
Lead ML Engineer (12-month FTC) £80,000 - £90,000 Remote (UK Based Only) This is a rare opportunity to step into a senior, hands-on ML Engineering role where you will shape how machine learning is delivered, scaled, and embedded across a large, complex organisation. THE COMPANY They are a large, well-established professional services organisation with a strong reputation for quality, trust, and long-term client relationships. Data and AI are a strategic priority, with significant internal backing to move from successful proof of concepts to robust, production-grade platforms. THE ROLE As a Lead ML Engineer, you will take ownership of ML Engineering delivery end-to-end, helping define best practice while remaining highly hands-on. Specifically, you can expect to be involved in the following: Leading the ML Engineering capability and contributing to the wider data and AI strategy. Designing, building, and productionising ML pipelines aligned to business goals. Delivering NLP and LLM-driven solutions, including fine-tuning and deployment. Implementing strong MLOps practices across model training, deployment, and monitoring. Working closely with Data Scientists to support, maintain, and improve models in production. Building APIs and data products that enable ML solutions to be consumed across the business. SKILLS AND EXPERIENCE The successful Lead ML Engineer will have the following skills and experience: Commercial experience delivering ML solutions end-to-end. Strong Python and SQL skills, with experience building data and ML pipelines. Hands-on experience with Databricks and Azure. Practical experience with NLP and LLMs, including fine-tuning and applied use cases. Solid understanding of MLOps, CI/CD for ML, and production model monitoring. Exeperience with stakeholders and translating business problems into technical solutions. Experience building or integrating APIs, such as with FastAPI, is beneficial. BENEFITS The successful Lead ML Engineer will receive the following benefits: Salary between £80,000 - £90,000 - depending on experience HOW TO APPLY Please register your interest by sending your resume to Majid Latif via the Apply link on this page.
Lead ML Engineer - 12 Month FTC
Harnham - Data & Analytics Recruitment
Jun 11, 2026
Full time
Lead ML Engineer (12-month FTC) £80,000 - £90,000 Remote (UK Based Only) This is a rare opportunity to step into a senior, hands-on ML Engineering role where you will shape how machine learning is delivered, scaled, and embedded across a large, complex organisation. THE COMPANY They are a large, well-established professional services organisation with a strong reputation for quality, trust, and long-term client relationships. Data and AI are a strategic priority, with significant internal backing to move from successful proof of concepts to robust, production-grade platforms. THE ROLE As a Lead ML Engineer, you will take ownership of ML Engineering delivery end-to-end, helping define best practice while remaining highly hands-on. Specifically, you can expect to be involved in the following: Leading the ML Engineering capability and contributing to the wider data and AI strategy. Designing, building, and productionising ML pipelines aligned to business goals. Delivering NLP and LLM-driven solutions, including fine-tuning and deployment. Implementing strong MLOps practices across model training, deployment, and monitoring. Working closely with Data Scientists to support, maintain, and improve models in production. Building APIs and data products that enable ML solutions to be consumed across the business. SKILLS AND EXPERIENCE The successful Lead ML Engineer will have the following skills and experience: Commercial experience delivering ML solutions end-to-end. Strong Python and SQL skills, with experience building data and ML pipelines. Hands-on experience with Databricks and Azure. Practical experience with NLP and LLMs, including fine-tuning and applied use cases. Solid understanding of MLOps, CI/CD for ML, and production model monitoring. Exeperience with stakeholders and translating business problems into technical solutions. Experience building or integrating APIs, such as with FastAPI, is beneficial. BENEFITS The successful Lead ML Engineer will receive the following benefits: Salary between £80,000 - £90,000 - depending on experience HOW TO APPLY Please register your interest by sending your resume to Majid Latif via the Apply link on this page.
Lead ML Engineer - 12 Month FTC
Harnham - Data & Analytics Recruitment Manchester, Lancashire
Jun 11, 2026
Full time
Lead ML Engineer (12-month FTC) £80,000 - £90,000 Remote (UK Based Only) This is a rare opportunity to step into a senior, hands-on ML Engineering role where you will shape how machine learning is delivered, scaled, and embedded across a large, complex organisation. THE COMPANY They are a large, well-established professional services organisation with a strong reputation for quality, trust, and long-term client relationships. Data and AI are a strategic priority, with significant internal backing to move from successful proof of concepts to robust, production-grade platforms. THE ROLE As a Lead ML Engineer, you will take ownership of ML Engineering delivery end-to-end, helping define best practice while remaining highly hands-on. Specifically, you can expect to be involved in the following: Leading the ML Engineering capability and contributing to the wider data and AI strategy. Designing, building, and productionising ML pipelines aligned to business goals. Delivering NLP and LLM-driven solutions, including fine-tuning and deployment. Implementing strong MLOps practices across model training, deployment, and monitoring. Working closely with Data Scientists to support, maintain, and improve models in production. Building APIs and data products that enable ML solutions to be consumed across the business. SKILLS AND EXPERIENCE The successful Lead ML Engineer will have the following skills and experience: Commercial experience delivering ML solutions end-to-end. Strong Python and SQL skills, with experience building data and ML pipelines. Hands-on experience with Databricks and Azure. Practical experience with NLP and LLMs, including fine-tuning and applied use cases. Solid understanding of MLOps, CI/CD for ML, and production model monitoring. Exeperience with stakeholders and translating business problems into technical solutions. Experience building or integrating APIs, such as with FastAPI, is beneficial. BENEFITS The successful Lead ML Engineer will receive the following benefits: Salary between £80,000 - £90,000 - depending on experience HOW TO APPLY Please register your interest by sending your resume to Majid Latif via the Apply link on this page.
Lead ML Engineer - 12 Month FTC
Harnham - Data & Analytics Recruitment Sheffield, Yorkshire
Jun 11, 2026
Full time
Lead ML Engineer (12-month FTC) £80,000 - £90,000 Remote (UK Based Only) This is a rare opportunity to step into a senior, hands-on ML Engineering role where you will shape how machine learning is delivered, scaled, and embedded across a large, complex organisation. THE COMPANY They are a large, well-established professional services organisation with a strong reputation for quality, trust, and long-term client relationships. Data and AI are a strategic priority, with significant internal backing to move from successful proof of concepts to robust, production-grade platforms. THE ROLE As a Lead ML Engineer, you will take ownership of ML Engineering delivery end-to-end, helping define best practice while remaining highly hands-on. Specifically, you can expect to be involved in the following: Leading the ML Engineering capability and contributing to the wider data and AI strategy. Designing, building, and productionising ML pipelines aligned to business goals. Delivering NLP and LLM-driven solutions, including fine-tuning and deployment. Implementing strong MLOps practices across model training, deployment, and monitoring. Working closely with Data Scientists to support, maintain, and improve models in production. Building APIs and data products that enable ML solutions to be consumed across the business. SKILLS AND EXPERIENCE The successful Lead ML Engineer will have the following skills and experience: Commercial experience delivering ML solutions end-to-end. Strong Python and SQL skills, with experience building data and ML pipelines. Hands-on experience with Databricks and Azure. Practical experience with NLP and LLMs, including fine-tuning and applied use cases. Solid understanding of MLOps, CI/CD for ML, and production model monitoring. Exeperience with stakeholders and translating business problems into technical solutions. Experience building or integrating APIs, such as with FastAPI, is beneficial. BENEFITS The successful Lead ML Engineer will receive the following benefits: Salary between £80,000 - £90,000 - depending on experience HOW TO APPLY Please register your interest by sending your resume to Majid Latif via the Apply link on this page.
Senior / Lead Machine Learning Engineer - TimeSeries, Pricing, Recommendation Engines, MLOps
Avanti
Jun 11, 2026
Full time
Senior / Lead Machine Learning Engineer - Time-Series, Pricing, Customer Behaviour, Feature stores, MLOps London Hybrid £100,000 - £120,000 + Equity This is a genuinely interesting opportunity for someone who enjoys solving large-scale, real-world machine learning problems rather than purely experimental work. The team is building forecasting, recommendation, pricing, and AI-driven decision systems that operate across a huge global dataset, with models directly influencing commercial decisions at scale. The role is heavily focused on machine learning engineering, particularly around time-series forecasting, scalable ML systems, feature stores, and MLOps. There's also some exposure to generative AI and LLM-related work, but this is primarily a deeply technical ML engineering role rather than a pure GenAI position. What makes the opportunity stand out is the blend of scale, technical complexity, and visibility. You'd be joining a relatively small but high-calibre AI team with strong research and engineering backgrounds, helping shape systems that directly influence pricing, marketing, and customer experience across thousands of businesses globally. They're looking for somebody who can stay hands-on technically while also helping guide more junior engineers and contribute to the wider technical direction of the team. The environment feels like a startup within a larger global business. There's plenty of ownership, freedom to influence technical decisions, and the opportunity to work on genuinely impactful AI systems at scale. The setup is hybrid with two days per week onsite in London. Experience around forecasting, time-series modelling, recommendation systems, production ML infrastructure, or large-scale MLOps environments would all be highly relevant. Salary: £100,000 - £120,000 plus equity and benefits. APPLY NOW for immediate consideration. N.B. - They do not offer visa sponsorship
IT Senior Service Manager
Trusted Technology Partnership Crow, Hampshire
Jun 11, 2026
Full time
IT Senior Service Manager Position: Senior Service Manager Location: Ringwood, Hampshire + Hybrid home working (non-contractual) Salary: £40,000 + Overtime + Benefits + Company Profit Share Hours: 37.5 hours per week The Role Working in a team of three Senior Service Managers, reporting to the Service Delivery Manager, you will form part of a well-established service management team. You will be helping to lead the delivery of high-quality IT support services and drive continuous improvement across our operational environment. You will be responsible, as a team, for the delivery of our support services. You will take responsibility for the end to end customer experience, ensuring service excellence through effective alignment of people, processes and technology. You will identify improvement opportunities, drive change, and ensure ISO management systems are actively promoted and embedded across the support team. As a Senior Service Manager, you will manage a team of Service Managers and 2nd Line Technicians to their full potential. Duties Include: Identify and mitigate risks which could impact our services, performance or compliance. Produce and interpret departmental KPI reports to assess operational performance, monitor efficiency, identify risks, and recommend improvements to support department objectives. Act as a key representative for the support department during service transitions, change initiatives, and project delivery. Champion our commitment to ISO management systems within the support team, embedding best practice and continuous improvement. Skills and Experience: Experience in Service Delivery or IT Service Management (three years preferred), with proven people management experience, a strong track record managing incidents, problems, and major incidents. Solid understanding of IT support environments, ideally with previous hands-on troubleshooting or IT operations experience. Experience and knowledge of using ITIL best practice. Excellent communication and stakeholder management skills, manage escalations professionally, and present confidently. Strong analytical and reporting ability. Ability to learn new technologies quickly. Organised and adaptable, capable of managing multiple priorities and performing effectively under pressure. Proactive and improvement focused, committed to continuous learning, professional development, and raising service standards. The role is subject to a standard clear DBS being received. The Package: Company Profit Share (first £3,600 is tax free). 22 days annual leave plus bank holidays, increasing with length of service. Birthday as additional paid leave. Additional paid leave (dependent on company performance). Company sick pay policy. Pension Scheme. Private Medical Insurance including dental. Free Parking. Hybrid Working. Progression opportunities. Fresh fruit, the occasional pizza and a posh coffee machine! Trusted Technology Partnership Trusted Technology Partnership has been a specialist IT Infrastructure and Support Services provider for over 25 years. We are an Employee Ownership Trust. We are proud winners of Best Place to Work award and overall winner of the Ringwood Business Awards 2024. Our core services include support desk, on-site engineering, project management and delivery, storage and logistics, software development and technical consultancy. We encourage progression within Trusted Technology Partnership for our colleagues, offering opportunities in other teams and departments. Join our friendly company, where a great team and a positive culture await you.
Senior Principal AI Engineer
Synapri
Jun 11, 2026
Full time
We're partnering with a globally recognised consulting firm that's investing heavily in AI innovation and searching for a Senior Principal AI Engineer to play a pivotal role in shaping and delivering cutting-edge, real-world AI solutions across a diverse client portfolio. This is a rare opportunity to build and lead an AI capability from the ground up, while staying hands-on with the latest technologies, from Machine Learning and Data Science through to GenAI. You'll work at the intersection of technical excellence and client impact, solving meaningful business problems at scale. You will get the opportunity to lead the design and delivery of production-grade AI solutions for global clients whilst building and mentoring a high performing team. Alongside this, you will be able to stay hands on with modern AI technologies including LLMs and GenAI What You'll Be Doing Designing, building, and deploying end-to-end AI/ML systems (from classical ML to GenAI) Developing robust, production-ready pipelines covering data ingestion, modelling, deployment, and monitoring Driving best-in-class MLOps practices, including CI/CD, model versioning, automated retraining, and rollback strategies Ensuring solutions are scalable, secure, and high-performing in real-world environments Defining future-proof AI architectures aligned with client goals Assessing and applying emerging technologies (eg LLMs, vector databases) where they create tangible value Partnering with clients during discovery, demos, and delivery-translating business needs into technical solutions Mentoring and developing engineers and data scientists through hands-on leadership What We're Looking For Strong software engineering background (Python essential) Demonstrated success delivering production-ready AI/ML solutions Hands-on experience with frameworks such as PyTorch, TensorFlow, or Scikit-Learn Solid understanding of MLOps and scalable deployment practices Experience with at least one major cloud platform (Azure, AWS, or GCP) Comfortable in client-facing environments, able to communicate complex ideas clearly Consulting experience is not essential, but confidence working with stakeholders, presenting ideas, and guiding decisions is key. Hybrid work model: 2-3 days/week in the office (London) Salary: £100 000 - £120 000 depending on experience + 10-15% bonus
Senior Data Science Consultant
Deerfoot Recruitment Solutions Ltd
Jun 11, 2026
Full time
Senior Data Science Consultant £60k - £70k + bonus and benefits (multiple positions available at different levels) London, Manchester or Glasgow / Hybrid Are you ready to work at the forefront of Agentic AI, GenAI and Data Science transformation? This is your opportunity to join a high-growth consulting environment where innovation, creativity and cutting-edge technology come together to solve complex business challenges for major clients. You'll play a key role in delivering impactful AI and analytics solutions, helping organisations unlock the value of their data and transform the way they operate. If you thrive in a client-facing consulting environment and want to work on pioneering AI initiatives with real-world impact, this could be the perfect next step in your career. What You'll Be Doing Leading and supporting the delivery of Agentic AI, GenAI, Data Science and Analytics projects across the full machine learning lifecycle Working closely with clients to understand business challenges and deliver innovative, data-driven solutions Demonstrating the value and potential of AI and advanced analytics through workshops, presentations and client engagements Applying modern data science techniques including statistical modelling, NLP, time-series analysis, spatial analysis and mathematical modelling Collaborating with multidisciplinary teams to deliver high-quality solutions in a fast-paced consulting environment Contributing to business growth through bids, proposals, RFPs, thought leadership and proposition development Supporting internal innovation initiatives, whitepapers, practice development and mentoring activities Continuously developing your skills across emerging AI, analytics and cloud technologies What You'll Bring Experience delivering Data Science, Analytics or Agentic/GenAI solutions within a client-facing or consulting environment Strong knowledge across the ML lifecycle and advanced analytical methodologies Passion for demonstrating how Agentic AI and GenAI can unlock business value Excellent stakeholder management, communication and presentation skills Experience helping clients derive actionable insights from complex data Background working within a consultancy and/or industry environment Technical Skills You'll have experience with some of the following: Cloud & Data Platforms: AWS, Azure, Google Cloud Platform, Databricks Programming Languages: Python, R, PySpark Agentic & GenAI Platforms: Microsoft Copilot Studio, OpenAI GPT-5 Agents, UiPath, Adept AI, Orby AI, Beam AI If you've held any of these roles or used these technologies/skills, this role could be a great fit: Data Scientist, Senior Data Scientist, AI Consultant, Machine Learning Consultant, GenAI Consultant, AI Engineer, Applied Data Scientist, Analytics Consultant, ML Engineer, Data & AI Consultant, Advanced Analytics Consultant, NLP Specialist, Python Developer, AI Transformation Consultant, Databricks Consultant, Azure AI Consultant, AWS Data Scientist, GCP Data Consultant, Agentic AI Consultant, OpenAI GPT Specialist, PySpark Developer. Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy in the UK. For every CV sent to clients, we donate £1 to The Born Free Foundation. We are a Climate Action Workforce in partnership with Ecologi. If this role isn't right for you, explore our referral reward program with payouts at interview and placement milestones. Visit our website for details. Deerfoot Recruitment Solutions Ltd is acting as an Employment Agency in relation to this vacancy.
Senior Software Engineer
Avanti Recruitment
Jun 10, 2026
Full time
Senior Software Engineer West Midlands (Hybrid) 45,000 - 65,000 + Bonus + Private Medical + Excellent Benefits Build Technology That Makes a Difference Are you an experienced Software Engineer looking to work on technology with real-world impact? We're working with an innovative engineering and technology business whose products are used internationally across a range of safety, security and critical infrastructure environments. Combining intelligent software, advanced sensing technologies and machine learning, their solutions help organisations improve safety, efficiency and decision-making. Due to continued growth and investment in new product development, they are looking for a Senior Software Engineer to join their engineering team and contribute to the next generation of their technology platform. This is an opportunity to tackle genuinely interesting engineering challenges at the intersection of software, hardware and AI. The Role You'll take ownership of software development across a range of products, with a primary focus on Linux-based systems and Python development. Working closely with software engineers, data scientists and product specialists, you'll contribute to the design, development and deployment of innovative solutions used in demanding real-world environments. This is a highly hands-on role where you'll have significant influence over architecture, technical direction and engineering best practice. Key Responsibilities Develop robust software applications using Python and C++ Contribute to software architecture and technical design Build and maintain scalable Linux-based applications Work closely with data science teams to deploy machine learning models Conduct code reviews and mentor other engineers Develop and maintain automated testing frameworks Support CI/CD and release processes Collaborate with multidisciplinary engineering teams Drive software quality and engineering best practice What We're Looking For Essential Strong commercial Python development experience Experience developing software on Linux platforms Proven software engineering experience within a product development environment Experience with Git and CI/CD workflows Knowledge of automated testing methodologies Strong communication and collaboration skills Desirable C++ development experience Embedded Linux exposure Machine learning deployment experience MLOps experience NVIDIA Jetson experience Experience developing software that interfaces with hardware Experience within engineering, instrumentation, industrial technology or related product environments About You You'll be a technically strong engineer who enjoys solving complex problems and taking ownership of your work. You'll be comfortable collaborating across teams, contributing ideas and helping shape technical decisions. Whilst this is not a formal management role, we're particularly interested in individuals who can demonstrate leadership qualities and a desire to mentor others. Why Apply? Work on cutting-edge technology with real-world applications Join a growing and innovative engineering business Exposure to AI, machine learning and intelligent systems Significant technical ownership and influence Collaborative and highly skilled engineering team Long-term career progression opportunities Diverse and challenging technical projects If you're a Software Engineer looking to work on innovative products that combine software, hardware and intelligent systems, we'd love to hear from you. Apply now for immediate consideration.
Senior AI Engineer
Adria Solutions Ltd City, Manchester
Jun 10, 2026
Full time
Senior AI Engineer Manchester A growing technology-led business is seeking a Senior AI Engineer to play a pivotal role in shaping and delivering its AI strategy. This is a senior-level, hands-on position responsible for designing, building, and deploying enterprise-grade AI solutions that drive measurable business value across the organisation. Working closely with IT, Data, Engineering, and senior business stakeholders, you will lead the development and implementation of advanced AI solutions, leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, Machine Learning, and Azure AI services. You will provide technical leadership, establish best practices, and help build the organisation s long-term AI capability. The business is investing heavily in AI and is looking for someone who can combine deep technical expertise with strategic thinking, taking solutions from concept through to production deployment and adoption. The ideal candidate will have a strong foundation in AI Engineering combined with a robust Data Science background, enabling them to develop, evaluate, and optimise AI solutions that deliver measurable business outcomes. This role would suit an experienced AI professional who enjoys solving complex business challenges, mentoring others, influencing technical direction, and delivering innovative AI solutions at scale. Role Purpose As a Senior AI Engineer, you will lead the design, development, deployment, and optimisation of enterprise AI solutions, ensuring they are secure, scalable, maintainable, and aligned to business objectives. You will act as a subject matter expert for AI technologies, helping to define architecture, establish standards, and guide the organisation s AI roadmap while remaining hands-on with implementation. Key Responsibilities Design, develop, and deploy advanced AI and Machine Learning solutions to solve complex business challenges. Lead the architecture and implementation of production-grade AI applications using LLMs, RAG pipelines, AI Agents, and Azure AI services. Provide technical leadership across AI initiatives, ensuring solutions follow best practices for scalability, security, performance, and governance. Own the full AI development lifecycle, from discovery and proof-of-concept through to production deployment and business adoption. Develop and optimise AI models, prompt engineering frameworks, vector databases, and retrieval systems. Design and implement AI agent architectures, workflow automation, and API integrations. Collaborate with Infrastructure and Engineering teams to deploy AI solutions securely within enterprise environments. Ensure solutions leverage Private Endpoints, secure networking, identity management, and enterprise-grade governance controls. Establish monitoring, evaluation, and observability frameworks for AI systems, including hallucination detection, model drift monitoring, performance tracking, and cost optimisation. Partner with operational and commercial stakeholders to identify high-value AI opportunities and define business cases. Measure and report on AI project outcomes, including efficiency gains, automation benefits, cost savings, and customer experience improvements. Mentor and support other technical team members, promoting AI best practices and knowledge sharing across the organisation. Contribute to the development of the organisation s AI strategy, roadmap, and future capability. Required Experience Essential Significant commercial experience in AI Engineering, Machine Learning Engineering, Applied AI, or Data Science roles. Expert-level Python development skills and deep experience with modern AI/ML frameworks and SDKs. Proven experience designing and deploying production-grade RAG solutions and LLM-powered applications. Strong experience building and deploying AI agents, orchestration frameworks, and automated workflows. Experience with Azure AI Services, Azure OpenAI, Azure Machine Learning, or equivalent enterprise AI platforms. Strong understanding of enterprise cloud architecture, including VNets, Entra ID, API Gateways, networking, and secure integrations. Experience deploying and managing AI workloads within production environments. Strong SQL and data engineering skills, working with both structured and unstructured datasets. Ability to translate complex datasets into actionable insights and AI-driven business solutions. Experience implementing AI governance, security, monitoring, and operational best practices. Excellent communication, leadership, stakeholder management, and problem-solving skills. Highly Desirable Strong Data Science background, with experience in statistical modelling, predictive analytics, feature engineering, experimentation, and model evaluation. Experience applying Data Science methodologies to solve complex business problems and identify opportunities for AI adoption. Experience with GenAIOps, LLMOps, MLOps, and AI observability platforms. Exposure to Computer Vision, OCR, Voice AI, Conversational AI, or multimodal AI solutions. Experience working within operational, retail, automotive, logistics, or customer-centric organisations. Knowledge of Responsible AI, AI governance frameworks, and regulatory considerations. Previous experience leading AI initiatives, mentoring engineers, or helping define AI strategy and roadmap. Experience building or contributing to an AI Centre of Excellence or internal AI capability function. What We're Looking For We're looking for someone who combines deep technical expertise with commercial awareness and a pragmatic approach to AI delivery. You'll be comfortable operating at both strategic and hands-on levels, engaging with senior stakeholders while also designing, developing, and deploying solutions yourself. You should be passionate about emerging AI technologies and have a track record of turning innovative ideas into production-ready solutions that create measurable business value. Salary & Benefits Competitive salary depending on experience Quarterly bonus scheme Hybrid working arrangement 3 days in the office / 2 days remote Opportunity to lead and shape enterprise AI capability Exposure to high-profile AI transformation initiatives Strong long-term career progression opportunities Ongoing investment in training, certifications, and professional development Interested? If you're an experienced AI Engineer or Data Science professional looking to take ownership of impactful AI initiatives and help shape the future direction of AI within a growing organisation, we'd love to hear from you. Apply now for the Senior AI Engineer opportunity in Manchester. Senior AI Engineer Manchester
Python Developer - UK Remote Contract - Outside IR35
Infused Solutions Ltd
Jun 10, 2026
Contractor
Senior Backend Python Developer (Contract) Contract: Rolling 3-Month Contract Location: Fully Remote (UK Based Only) Rate: 300 per day IR35 Status: Outside IR35 Start Date: ASAP Please note: Applicants must be based in the UK. Sponsorship is not available for this position. The Opportunity We're working with a growing technology-driven organisation looking for a strong Senior Backend Python Developer to join their engineering team on an initial 3-month contract with a high likelihood of extension. This is a hands-on backend-focused role where you'll be responsible for designing, developing, and maintaining scalable services, APIs, and integrations that underpin critical business applications. You'll be working closely with architects, product teams, and fellow engineers to deliver high-quality solutions in a fast-paced Agile environment. The ideal candidate will be an experienced Python developer with a strong understanding of modern backend engineering principles, cloud-native development, and API design. Key Responsibilities Design, develop, and maintain scalable backend applications and services using Python Build and optimise RESTful APIs and microservices Develop integrations between internal and third-party systems Write clean, maintainable, and well-tested code Participate in technical design discussions and architectural decisions Troubleshoot, debug, and resolve complex technical issues Contribute to CI/CD pipelines and deployment processes Collaborate with product, engineering, and DevOps teams to deliver high-quality solutions Perform code reviews and champion engineering best practices Support ongoing improvements to performance, scalability, and security Required Skills & Experience Strong commercial experience developing backend applications using Python Experience building scalable APIs and distributed systems Strong understanding of software engineering best practices and design patterns Experience with relational databases such as PostgreSQL or MySQL Experience working with cloud platforms (AWS, Azure, or GCP) Familiarity with Docker and containerised deployments Experience with Git and collaborative development workflows Understanding of CI/CD pipelines and automated testing Experience working within Agile delivery environments Strong problem-solving and debugging skills Desirable Experience Experience with FastAPI, Django, or Flask Exposure to event-driven architectures and messaging technologies Experience building data-intensive applications Knowledge of infrastructure-as-code practices Bonus Skills Any commercial or personal experience with AI, Machine Learning, Generative AI, or Large Language Models (LLMs) would be highly beneficial, including: Integrating LLM APIs into applications Building AI-powered features or workflows Experience with OpenAI, Anthropic, Azure AI, LangChain, LlamaIndex, or similar technologies Retrieval-Augmented Generation (RAG) solutions AI agents and workflow automation What's on Offer 300 per day Fully remote working Outside IR35 engagement Rolling 3-month contract with extension potential Opportunity to work on modern technology and scalable systems Immediate interview and start process Please note: Candidates must be UK-based and have the unrestricted right to work in the UK. Sponsorship is not available.