84 jobs found

Software Engineer / Test Specialist (SDET, Safety Critical) Oxford (Hybrid, 2 days onsite per week) Highly competitive salary, open and negotiable About the Role We are looking for a Software Engineer / Test Specialist with strong experience in safety critical systems, focused on DO-178C and Verification and Validation (V&V). This is an opportunity to join an extremely well funded and well backed startup with a clear ambition to become a leading technology player in its field. The organisation is building next generation, AI led software systems where safety, reliability and certification are critical to success. You will play a key role in ensuring that advanced, AI-enabled software meets rigorous safety standards, combining traditional SDET responsibilities with deep involvement in safety assurance and certification activities. Key Responsibilities Lead and support V&V activities aligned with DO-178C objectives Develop and execute test strategies, test plans and certification artefacts Validate and assure AI driven and software intensive systems within safety critical frameworks Design and implement automated and manual testing approaches for complex, high integrity software Produce and review compliance documentation such as Software Verification Plans, test cases and verification reports Work closely with software, systems and AI/ML teams to ensure certification readiness Carry out requirements based testing and maintain full traceability using tools such as DOORS or Polarion Support regulatory audits and certification processes across safety critical programmes Identify defects, risks and non compliance issues and drive resolution Essential Experience Strong experience working in DO-178C or DO-178B environments Solid understanding of V&V processes within safety critical systems Background as an SDET, Software Test Engineer or Verification Engineer in regulated industries such as aerospace, defence, automotive or rail Experience testing complex software systems, ideally including AI or data driven components Hands on experience with test automation using Python, C, C++ or similar Experience with requirements traceability tools and test management systems Knowledge of software lifecycle processes in certified environments Desirable Skills Experience with assurance or testing of AI or machine learning based systems in regulated environments Experience across different Design Assurance Levels (DAL A to E) Exposure to model based development such as Simulink Experience with embedded systems or hardware in the loop testing Awareness of additional safety standards such as ARP4754A, ISO 26262 or IEC 61508 Working Arrangement Hybrid working with a minimum of 2 days per week onsite in Oxford. Flexible working options available. Why Join Work on genuinely safety critical, AI enabled systems with real world impact Join a highly ambitious startup with strong funding and backing Be part of a team aiming to become a leading technology player in its field Competitive and flexible salary depending on experience INDENG DCS Recruitment and all associated companies are committed to creating a working environment where diversity is celebrated and everyone is treated fairly, regardless of gender, gender identity, disability, ethnic origin, religion or belief, sexual orientation, marital or transgender status, age, or nationality

Senior Embedded Software Engineer - £60k - £67.5k - Worcester Hexwired Recruitment has recently partnered with a highly successful Electronics Manufacturer based in Worcester now seeking a Senior Embedded Software engineer with solid experience working on real time sensors for a brand new product the company is developing. The company are expanding due to recent success in the market and are now seeking a talented Senior Embedded Software engineer ideally with experience working on Firmware RTOS as well as some exposure to Hardware. This is a semi remote Senior Embedded Software role, due to the nature of the work. This role does not provide sponsorship. Key Skills Degree in Embedded Systems, Electronics or similar 6+ years commercial Embedded software development experience Good commercial ARM processor/controller experience Excellent experience working with RTOS or broader Realtime environments Exposure to Digital design is highly desirable but not essential Experience working on DSP s is also highly desirable but not essential. The company are looking to offer circa £60k - £67.5k dependent on experience along with excellent benefits and flexible working. If you re interested in this Senior Embedded Software role, please apply. For more information on this role, or any other jobs across; Embedded, C++ programming, Embedded Linux, Golang Development, FPGA, Electronics, .net, Python, Yocto, Machine Learning, Data Science or Simulation contact us today.

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 client's operational environment. You will be responsible, as a team, for the delivery of their 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 client's 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 their 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! Our Client Our client has been a specialist IT Infrastructure and Support Services provider for over 25 years. They are an Employee Ownership Trust. They are proud winners of Best Place to Work award and overall winner of the Ringwood Business Awards 2024. Their core services include support desk, on-site engineering, project management and delivery, storage and logistics, software development and technical consultancy. They encourage progression within themselves for their colleagues, offering opportunities in other teams and departments. Join our client's friendly company, where a great team and a positive culture await you.

Why join Marshall Land Systems in this role This is an excellent opportunity for a Senior Mechanical Design Engineer who wants technical ownership, programme variety and the chance to influence real engineering outcomes. This is a Mechanical Design role, focused on the design, development, modification and support of complex physical products. You will use Autodesk Inventor for 3D CAD, detailed design and drawing production, with Windchill PLM used for product data management, configuration control, engineering change and release. At Marshall Land Systems, our mechanical design engineers do not work on the same product day after day. Our programmes are varied, technically challenging and often bespoke, meaning every project brings a different engineering problem to solve. Our teams work across a wide range of specialist land systems, including deployable infrastructure, command and control modules, medical and support facilities, protected mobility solutions, mission systems and complex vehicle-mounted equipment. This role is not about repeatedly designing the same product. You will support bids, new product development, modifications, configuration control, production support, integration, trials and in-service improvements. One programme may require structural design and welded frame development, another may involve packaging systems into a constrained module, while another may focus on manufacturability, integration or customer-specific modifications. As a Senior Engineer - Mechanical Design, you will be expected to apply sound engineering judgement, guide others, make technical decisions and help maintain continuity of design intent across complex programmes. You will also support the development of less experienced engineers through technical guidance, coaching and checking. You will be joining a strong and supportive mechanical design team, working from our modern Cambridge offices and collaborating with colleagues across the UK, Canada and the Netherlands. This opportunity is a hybrid role requiring you to be onsite in Cambridge around 50-70% of the time. Job Description A Senior Engineer - Mechanical Design is required to take lead responsibility for mechanical design activities, provide continuity of design intent and configuration control, and ensure effective coordination across programme, manufacturing, supply chain, quality and integration stakeholders. The role will be to act as a senior mechanical design engineer, providing Subject Matter Expert leadership and guidance in the development of bids and delivery of projects. There will also be occasions where the successful candidate will lead specific projects or work packages. The role will require working with the current team to generate and develop requirements, define mechanical architecture, produce and check engineering data, and support technical planning. The role will also involve coaching and supporting others within the team. The successful candidate will use Autodesk Inventor for 3D modelling, detailed design and drawing production, with Windchill PLM used to manage product structures, item data, configuration control, engineering change and release. Your responsibilities will include Act as a Mechanical Design Subject Matter Expert across bids, projects and product modifications. Take technical ownership of mechanical design activities across varied programmes and product types. Produce, review and check mechanical design outputs, including 3D models, 2D drawings, item lists, product structures, design data and technical documentation. Use Autodesk Inventor to develop robust 3D models, assemblies, drawings and design solutions. Use Windchill PLM to manage product data, configuration control, engineering change, item data, Bills of Material and release activity. Support the generation of complex mechanical design architectures for new and existing product design concepts, from initial risk assessment and feasibility studies through to functional design freeze. Lead technical input into bids, modifications and project delivery activities. Generate, review and check technical documentation, including project plans, technical proposals, customer and supplier statements of work, design data and certification evidence. Apply sound systems engineering thinking to mechanical design activities. Work with stakeholder and customer requirements to derive internal design requirements. Develop mechanical approaches for modifications, upgrades and new project work. Provide technical leadership, coaching and support to mechanical design engineers and early careers engineers. Support continuity of design intent and maintain configuration control across complex programmes. Support design reviews, technical reviews and change boards. Work collaboratively with programme, manufacturing, supply chain, quality, integration and operations teams. Support the resolution of technical issues during build, integration, trials and in-service support. Help improve engineering quality, design standards, manufacturability and ways of working across the Mechanical Design function. Ensure compliance with regulatory, customer and Marshall processes. Bring significant platform, product and regulatory experience to the efficient and effective completion of engineering data sets. What makes someone successful here We are looking for engineers who enjoy solving practical problems, working with others and taking ownership of their work. The best people in our team are curious, hands-on, comfortable with detail and able to balance technical quality with programme needs. You do not need to have worked on exactly the same products before. Experience in aerospace, defence, automotive, rail, special purpose machinery, heavy engineering, structural fabrication, vehicle systems, marine, energy or other complex engineering environments could all be relevant. What matters is your ability to think clearly, work from requirements, produce robust design solutions and collaborate across functions. If you are looking for a role where every project looks the same, this probably is not it. Our programmes vary significantly in size, scope, customer need and technical challenge. That variety keeps the work interesting and gives engineers the opportunity to keep learning, solve new problems and build a broad engineering skillset. Qualifications Qualified to degree level in Engineering, Mathematics or Physics with relevant and sufficient experience in the field. Alternative qualifications and/or experience will be considered. Apply if you have most of the following Demonstrable experience working as a Senior Mechanical Design Engineer or experienced Mechanical Design Engineer within a complex engineering environment. Experience producing, reviewing or checking mechanical design data, including 3D models, 2D drawings, item lists, product structures and technical documentation. Experience using Autodesk Inventor for mechanical design would be beneficial. Experience with other 3D CAD systems will also be considered. Experience using Windchill PLM for product data management, configuration control, engineering change and release would be beneficial. Experience with other PLM or PDM systems will also be considered. Strong understanding of mechanical design delivery, including CAD modelling, drawing production, design checking, configuration management and release. Ability to apply sound systems engineering thinking to mechanical design work. In-depth understanding of industry standard design practices such as tolerance assessment, design for manufacture and assembly, configuration management and design governance. Experience working from stakeholder or customer requirements to derive practical internal design requirements. Experience developing mechanical approaches for modifications, upgrades, new designs or complex project work. Ability to compile technical reports, certification documentation and supporting design evidence. Understanding of mechanical certification and validation methods, with the ability to identify appropriate means of compliance. Experience planning and delivering complex tasks to schedule and budget. Ability to manage priorities across multiple projects or work packages. Confidence to provide sound technical input based on facts, evidence and engineering judgement. Ability to support, coach and guide less experienced engineers. Experience in aerospace or defence would be beneficial, but we are also interested in engineers from other complex or regulated engineering sectors such as automotive, rail, heavy engineering, special purpose machinery, structural fabrication, vehicle systems, marine, energy or industrial equipment. Structural design experience would be beneficial, including understanding of structural theory and experience developing structural solutions, particularly for steel welded frames. The benefits we will offer you include 27 days holiday increasing with service up to 30 days, with the option to buy or sell leave. Pension contributions up to 9%. Private medical insurance. Extensive flexible benefit programme including Cycle to Work. Life assurance at 4x basic salary. Enhanced parental leave and pay. Paid volunteering leave. Access to industry-leading wellbeing resources and tools. . click apply for full job details

Why join Marshall Land Systems in this role This is a great opportunity for a Mechanical Design Engineer who wants variety, hands-on engineering exposure and the chance to develop within a strong mechanical design team. This is a Mechanical Design role, focused on the design, development, modification and support of complex physical products. You will use Autodesk Inventor for 3D CAD, detailed design and drawing production, with Windchill PLM used for product data management, configuration control, engineering change and release. At Marshall Land Systems, our mechanical design engineers do not work on the same product day after day. Our programmes are varied, technically challenging and often bespoke, meaning every project brings a different engineering problem to solve. Our teams work across a wide range of specialist land systems, including deployable infrastructure, command and control modules, medical and support facilities, protected mobility solutions, mission systems and complex vehicle-mounted equipment. The work is practical, varied and meaningful, with engineers involved across design, build, integration, production support and in-service improvement. One project may involve developing structural solutions for a welded frame, another may require packaging equipment into constrained spaces, while another may focus on supporting manufacture, resolving build issues, updating design data or contributing to bids and modifications. You will not be working on the same product every day. Each programme brings different technical challenges and gives engineers the opportunity to keep learning, solve new problems and build a broad engineering skillset. You will be part of a supportive mechanical design team, working from our modern offices in Cambridge and collaborating with colleagues across Engineering, Manufacturing, Quality, Supply Chain and Operations in the UK and Canada. For someone who wants to grow technically and see their designs become real physical products, this is a strong opportunity. This is a hybrid role, with an expectation to be onsite in Cambridge around 70% of the time. The role A Mechanical Design Engineer is required to support the design, development and delivery of robust mechanical solutions across bids and projects. The role will help provide continuity of design intent, maintain configuration control and support effective coordination across programme, manufacturing, supply chain, quality and integration stakeholders. Working as part of a wider engineering team, the role will involve developing requirements, producing and checking engineering data, creating and updating 3D models and 2D drawings, supporting configuration control and contributing to the delivery of safe, compliant and manufacturable solutions. The successful candidate will use Autodesk Inventor for 3D modelling, detailed design and drawing production, with Windchill PLM used to manage product structures, item data, configuration control, engineering change and release. The successful candidate will work closely with colleagues across Engineering and Operations in both the UK and Canada, supporting the delivery of products and systems that meet customer, regulatory, cost and schedule requirements. This is engineering you can see. Our teams work on real physical products, support them through build and integration, and often remain involved as designs mature through trials, production and in-service use. Your responsibilities will include Support the design and development of mechanical solutions across bids, projects and product modifications. Create, amend and support the checking of mechanical design outputs, including 3D models, 2D drawings, item lists, product structures and associated engineering data. Use Autodesk Inventor to develop 3D models, assemblies, drawings and practical mechanical design solutions. Use Windchill PLM to support product data management, configuration control, engineering change, item data, Bills of Material and release activity. Gain exposure to the full engineering lifecycle, from early concept and bid support through to design, build, integration and in-service updates. Support the generation and development of design requirements from stakeholder and customer needs. Contribute to the development of mechanical architectures and practical design solutions. Work to regulatory, customer and Marshall processes, ensuring engineering outputs are safe, compliant and fit for purpose. Support the preparation and checking of technical documentation, including design data, technical reports and certification evidence. Maintain product, drawing and document configuration control. Work collaboratively with Mechanical, Electrical, Manufacturing, Quality, Supply Chain and Operations teams. Support design for manufacture and assembly activities, working with production and manufacturing teams to develop practical and efficient solutions. Assist with design queries, inspection reports, technical issues and warranty-related investigations. Support technical input into bids, statements of work and project documentation where required. Identify opportunities to improve design quality, cost, manufacturability and delivery performance. Contribute to continuous improvement and challenge existing ways of working where appropriate. Develop your technical capability with support from experienced Senior and Principal Engineers. Contribute to real physical products where good engineering judgement, attention to detail and practical design make a visible difference. What makes someone successful here We are looking for engineers who enjoy solving practical problems, working with others and taking ownership of their work. The best people in our team are curious, hands-on, comfortable with detail and able to balance technical quality with programme needs. You do not need to have worked on exactly the same products before. Experience in aerospace, defence, automotive, rail, special purpose machinery, heavy engineering, structural fabrication, vehicle systems, marine, energy or other complex engineering environments could all be relevant. What matters is your ability to think clearly, work from requirements, produce robust design solutions and collaborate across functions. You will be joining a team that is technically strong, approachable and supportive. We value engineers who share knowledge, help others, challenge constructively and take pride in delivering good engineering. What we are looking for Apply if you have most of the following: Degree qualified in Engineering, Mathematics or Physics, or equivalent relevant experience. Experience in mechanical design engineering within a complex or regulated environment. Experience producing or supporting mechanical design outputs, including 3D models, 2D drawings, item lists, product structures and associated design data. Experience using Autodesk Inventor for mechanical design would be beneficial. Experience with other 3D CAD systems will also be considered. Experience using Windchill PLM for product data management, configuration control, engineering change and release would be beneficial. Experience with other PLM or PDM systems will also be considered. Understanding of mechanical design delivery, including CAD modelling, drawing production, design checking, configuration management and release. Ability to work from requirements and develop practical engineering solutions. Understanding of engineering standards, product safety and design governance. Understanding of design for manufacture, design for assembly and configuration management. Broad understanding of manufacturing methods such as sheet metal fabrication, welding, riveting and bonding. Strong problem-solving skills with a high level of attention to detail. Ability to work accurately, manage priorities and deliver to timescale. Confidence to provide sound technical input based on facts and engineering judgement. Good communication skills, with the ability to explain technical information clearly to both technical and non-technical audiences. Ability to work effectively across teams, functions and locations. Desirable experience Experience supporting products through production, build, integration or in-service support. Experience contributing to bids, technical proposals or statements of work. Experience preparing technical reports and supporting certification activities. Structural design experience would be beneficial, including understanding of structural theory and experience developing structural solutions, particularly for steel welded frames. Experience in aerospace or defence would be beneficial, but we are also interested in engineers from other complex engineering sectors such as automotive, rail, heavy engineering, special purpose machinery, structural fabrication, vehicle systems, marine, energy or industrial equipment. The benefits we offer include 27 days holiday, increasing with service up to 30 days, with the option to buy and sell leave. Pension contributions up to 9%. Private medical insurance. Extensive flexible benefits programme including Cycle to Work. Life assurance at 4x basic salary. Enhanced parental leave and pay. Paid volunteering leave. Access to industry-leading wellbeing resources and tools. . click apply for full job details

Overview We are seeking a Senior Data Architect to join one of our client and lead the design and delivery of modern data platforms and analytics architectures within a fast-paced, client-facing environment. You will act as the Databricks champion within the business, shaping best practice, guiding delivery teams, and supporting stakeholders through pre-sales and solution definition. Key Responsibilities Own end-to-end data architecture across lakehouse, warehouse, and streaming patterns, ensuring scalability, security, and governance. Act as Databricks champion: define standards, reference architectures, accelerators, and reusable assets. Lead architectural design for Databricks (workspaces, clusters, jobs, Delta Lake, Unity Catalogue, MLflow) and integrations with cloud services. Partner with pre-sales teams to shape propositions, run discovery, produce high-quality proposals, and present solutions to senior client audiences (pre-sales experience is essential). Translate business requirements into target-state data models, ingestion patterns, and semantic layers. Guide engineers on implementation, performance optimisation, cost control, CI/CD, and operational readiness. Ensure compliance with data governance, privacy, and security controls (RBAC, encryption, auditing, lineage). Essential Requirements Significant Databricks experience required, including production-scale deployments and optimisation. Strong hands-on capability with Spark/SQL, Delta Lake, orchestration, and data engineering patterns. Extensive experience designing cloud data platforms (AWS, Azure, or GCP) and integrating with enterprise systems. Proven stakeholder management and ability to communicate architecture to both technical and non-technical audiences. Experience with data modelling (dimensional, Data Vault, and/or domain-oriented approaches) and metadata management. Working knowledge of DevOps practices, infrastructure as code, and automated testing for data pipelines. Desirable Databricks Certifications highly desired (eg, Data Engineer, Data Analyst, Machine Learning, or Architect). Experience delivering governance frameworks, catalogue implementations, and operating models. Exposure to MLOps and analytics enablement.

Passionate about contributing to a more sustainable world? Bring your passion for sustainability and digital innovation to a meaningful Senior Software Developer role that is instrumental in shaping and advancing the digital infrastructure that supports our engineering and consultancy teams to design services for some of the world's best and most sustainable buildings. ABOUT US At Max Fordham we are proud to be a partnership, run by the people who work here. ABOUT THE ROLE Based in either our Edinburgh or London office, the Senior Software Developer will play a critical part in advancing the digital capabilities of our engineering and consultancy services. This role will involve software development to support the digital transformation of our workflows, project delivery, and performance modelling across the built environment. The expectation is that the successful candidate will work from the office 2-3 days per week and undertake some travelling between the other offices as required. What technology do we use? Listed below are the technology stacks that Max Fordham use. The successful candidate will be expected to work with the following core technologies: Programming: Python, JavaScript, TypeScript, SQL, C#, C++ Frameworks & Tools: FastAPI, Jupyter, JupyterHub, Voila, Power BI, GitHub, Vue, Nuxt AEC Platforms & Standards: Revit, Revit API, pyRevit, Rhino, Grasshopper, IES VE (and it's Python API), BIM data standards (IFC, COBie) Cloud & Infrastructure: AWS/Azure, Git, Ansible Extract, Transform and Load (ETL) Responsibilities Key responsibilities of the role In addition to the core technology listed above, this role will involve: Developing and maintaining custom software tools and plugins that integrate with AEC platforms (e.g. Revit, Rhino, IES). To support the Director responsible in developing the technical strategy for data and software initiatives aligned with the practice's digital transformation goals. Designing and implementing data pipelines and analytics dashboards to support project performance, sustainability metrics, and digital design workflows. Collaborating with multidisciplinary teams to translate engineering and project requirements into scalable digital solutions. Ensuring data quality, governance, and compliance with UK BIM standards and construction data protocols. Mentoring junior developers and analysts, fostering a culture of innovation and continuous learning. Communicating complex technical concepts clearly to non-technical stakeholders and project teams. Staying abreast of emerging technologies in data science, machine learning, digital twins and any other innovations relevant to the built environment. ABOUT YOU We value people who can think analytically and creatively, adopting a first principles approach to create elegant and innovative solutions to practical problems. Essential personal attributes for this role include being keen and willing to learn and to possess a strong sense of ownership for the work that you do. You must care about the presentation and detail of the work and have a strong desire to achieve technical excellence and completeness. Being a motivated team player and a good communicator is also fundamental for the role, as well as having the ability to build strong relationships and collaborate with the Software Development and Digital Design teams. It would also be advantageous to have some knowledge or interest in the built environment and the construction (AEC) industry. Key skills and qualifications required for the role: Initiative and proactive working methodology Ability to work well with colleagues to achieve shared goals Confidence to interrogate a brief and question supervisors' approach rather than following blindly Degree Level (minimum) in maths, science, engineering or computational design with experience in coding. Shortlisted applicants will be expected to complete a homework assignment before a follow-up technical interview, after which a decision will be made, and a position will be offered. We look forward to your application! WHAT WE OFFER Excellent growth opportunities for your personal and career development in a knowledge driven environment An inclusive culture that encourages collaboration, openness, and knowledge sharing An open, supportive, and cooperative working environment One paid professional subscription per year Interesting and technically challenging projects Opportunities for involvement in business-running activities Flexible working arrangements, including hybrid working opportunities Competitive pay and employee bonus Future opportunities for Partnership Six weeks holiday (including Bank holidays) Max Fordham Pension Scheme Other benefits include generous paid parental leave, sick pay, and treatment pay. SALARY: £45,000 - £60,000, DOE LOCATION: Edinburgh or London CLOSING DATE: 21st June 2026 at 22:00 (GMT) HOW TO APPLY This position is available for an immediate start. Please note that all applicants must have an existing and valid right to work in the UK. As a consequence of the changes made to the Skilled Worker route by the UK Government, we are unable to sponsor Skilled Worker visas for this position. If you are interested in working with us, we would be delighted to hear from you. In addition to submitting your CV, please include a cover letter within the application form outlining how your skills meet the role criteria and how your interests align with our vision of a beautifully engineered, net zero carbon world for a sustainable future. To support our fair and anonymised recruitment process, please ensure that your cover letter does not include any personal identification details. If you have any additional queries, please contact us directly. REF-

About Scrumconnect At Scrumconnect, we are a people-first digital consultancy that partners with government and private sector organisations to design, build, and deliver user-centred digital services. We bring together multidisciplinary teams of consultants, designers, engineers, researchers, and data specialists to solve complex challenges and create meaningful outcomes for millions of users. We are passionate about delivering high-quality digital solutions that improve public services, drive innovation, and create lasting impact. Our culture is built on collaboration, continuous learning, inclusivity, and excellence. About the Role Scrumconnect is seeking an experienced Data Lead to lead the development and execution of a strategic data vision for a large-scale government programme supporting services used by millions of citizens. This role will be responsible for assessing the current data landscape, defining the future-state architecture and operating model, and creating a roadmap that enables data-driven decision making, operational excellence, and regulatory compliance. The successful candidate will provide both strategic leadership and technical direction while helping shape and scale the data capability required to deliver long-term transformation. Working closely with senior stakeholders, delivery teams, architects, and data specialists, you will ensure that data platforms, governance frameworks, and analytical capabilities align with organisational objectives and government standards. Key Responsibilities Data Strategy & Governance Lead the development and execution of the overall data strategy. Assess and document current ("as-is") data capabilities, platforms, processes, and governance arrangements. Define the target ("to-be") data architecture, operating model, and roadmap. Establish and maintain data governance frameworks, standards, policies, and best practices. Ensure alignment with wider government data strategies and organisational objectives. Promote a culture of data-driven decision making across programmes and stakeholders. Technical Leadership & Architecture Provide technical leadership across data engineering, analytics, and data science initiatives. Define and evolve data architecture, engineering standards, tools, and methodologies. Design scalable, secure, and resilient cloud-based data solutions. Oversee the implementation of data platforms, ETL/ELT pipelines, and analytical solutions. Ensure data services meet both functional and non-functional requirements, including security, performance, and scalability. Drive continuous improvement of data engineering and analytical capabilities. Team Leadership & Delivery Define the optimal team structure, skills, and capabilities required to deliver the data strategy. Lead multidisciplinary teams including data engineers, analysts, data scientists, and architects. Mentor and support team members to foster technical excellence and professional growth. Collaborate with delivery partners and stakeholders to identify and onboard specialist expertise when required. Ensure successful delivery of strategic data initiatives within agreed timelines and budgets. Data Quality, Compliance & Security Implement robust data quality, lineage, metadata, and governance practices. Ensure compliance with GDPR, security policies, government standards, and regulatory requirements. Establish monitoring and reporting mechanisms to maintain data integrity and reliability. Support audits, risk assessments, and compliance activities. Champion secure-by-design and privacy-by-design principles across all data initiatives. Stakeholder Engagement Build strong relationships with senior stakeholders across business and technical teams. Translate complex technical concepts into clear business outcomes and recommendations. Present strategic plans, progress updates, and key insights to executive audiences. Facilitate workshops and decision-making sessions to drive alignment and delivery. Essential Skills & Experience Data Leadership Significant experience leading data engineering, analytics, or data science functions within complex organisations. Proven track record of developing and delivering enterprise-wide data strategies. Experience establishing data governance frameworks and operating models. Technical Expertise Strong experience with AWS cloud services and modern data platforms. Expertise in designing and implementing scalable data architectures and engineering solutions. Experience with ETL/ELT frameworks, data integration, and pipeline automation. Strong understanding of data modelling, data warehousing, and transformation methodologies. Experience supporting data science and machine learning initiatives from experimentation through production deployment. Strong understanding of data security, governance, and operational best practices. Public Sector Experience Experience delivering data initiatives within government or highly regulated environments. Strong understanding of GDPR, information governance, data protection legislation, and public sector compliance requirements. Familiarity with Government Digital Service (GDS) standards and ways of working. Communication & Leadership Excellent stakeholder management and communication skills. Ability to influence senior leaders and drive strategic decision-making. Experience building, leading, and mentoring high-performing data teams. Strong facilitation, collaboration, and workshop leadership capabilities. Technical Environment Experience with some or all of the following technologies is desirable: Cloud & Data Platforms AWS Amazon S3 AWS Glue AWS Lambda Amazon Redshift AWS Lake Formation Data Engineering & Analytics SQL Python ETL/ELT frameworks Data Warehousing solutions Data Modelling methodologies Performance & Digital Analytics Google Analytics Google BigQuery Google Looker Studio Google Tag Manager Desirable Experience Experience within benefits, welfare, citizen services, or wider public sector domains. Previous experience delivering services through public sector frameworks. Security clearance (BPSS, SC, or DV) or willingness to undergo clearance. Experience working within Agile multidisciplinary delivery teams. Experience defining and scaling enterprise data capabilities and operating models.

Senior Software Engineer Birmingham (Hybrid) Permanent Full-Time Competitive Salary A growing technology business is seeking a Software Engineer to join its engineering team in Birmingham. This is an excellent opportunity for a developer with strong AWS and backend engineering experience who wants exposure to cloud-native systems, IoT integrations, frontend development, DevOps, and AI-powered applications . Key Responsibilities Design, develop, and maintain AWS-based backend microservices Build frontend applications using React and TypeScript Work on IoT integrations including connected edge devices Develop infrastructure using AWS CDK / Infrastructure as Code Support CI/CD pipeline improvements and deployments Contribute to AI / LLM-powered product functionality Collaborate with stakeholders to define and deliver solutions Maintain code quality through code reviews and engineering best practice Technical Environment Languages: TypeScript, Node.js, Python, Go Cloud: AWS Lambda, API Gateway, EventBridge, SQS, Step Functions Databases: DynamoDB, PostgreSQL, Aurora, MongoDB Frontend: React, TypeScript, MUI DevOps: AWS CDK, Terraform, Docker, GitLab CI, CodePipeline AI: Amazon Bedrock, RAG, LLM integrations Skills Required Commercial software engineering experience Strong AWS cloud/serverless experience Strong backend development skills in TypeScript, Python, or Go CI/CD and Docker experience Full-stack engineering mindset Strong communication skills Desirable Skills React / TypeScript frontend experience Infrastructure as Code GraphQL / AppSync Event-driven architectures IoT / edge systems AI / machine learning feature development Benefits Hybrid working Modern cloud-native technology stack Exposure to AI and emerging technologies High ownership engineering role Collaborative team environment Competitive salary

Systems Engineer Salary: 45,000- 50,000 Location: Oxfordshire (Hybrid - 3 days onsite) Permanent Full Time We are working with a fast-growing, well-funded deep-tech start-up developing next-generation safety and assurance technology for AI and autonomous systems. This is a unique opportunity to join a business at the forefront of innovation, building critical infrastructure that enables the safe deployment of advanced autonomous technologies across sectors such as aerospace and robotics. The organisation is scaling rapidly and is looking for a Systems Engineer to play a key role in shaping its technical direction, working closely with senior leadership and cross-functional engineering teams. This role would suit someone who thrives in a start-up environment, enjoys ownership and is motivated by solving complex, real-world engineering challenges. The Role As a Systems Engineer, you will contribute to the design and development of complex, safety-critical systems with an initial focus on autonomous and unmanned platforms. You'll take ownership of system architecture, ensuring integration across software and hardware components, while guiding projects through the full engineering lifecycle. Key Responsibilities Design and develop system architectures for advanced engineering solutions, particularly within autonomous systems Collaborate with multi-disciplinary teams including software, embedded, safety and machine learning engineers Conduct system-level analysis, trade-off studies and risk assessments Define and manage system requirements, interfaces and specifications Oversee implementation, integration, verification and validation activities Manage the full systems engineering lifecycle from concept through to delivery Support continuous improvement of engineering processes, tools and methodologies Key Skills & Experience Degree (BSc/MSc/PhD) in Computer Science, Aerospace Engineering, Electrical Engineering or similar Experience delivering complex, safety-critical systems Strong background in systems architecture and design Knowledge of systems engineering methodologies (e.g. MBSE / SysML) Understanding of software, embedded systems and real-time architectures Experience with safety and certification standards (e.g. DO-178C, DO-254, ARP4754A) Familiarity with regulatory frameworks within autonomous or aerospace systems Strong analytical, problem-solving and communication skills Eligibility to obtain UK security clearance and right to work in the UK Working Environment This is a high-growth, ambitious start-up where engineers are empowered to take ownership and contribute directly to the company's success. The team values collaboration, curiosity and technical excellence, and operates in a fast-paced environment where adaptability and initiative are key. You'll be part of a group building cutting-edge technology from the ground up, working on technically challenging problems with real-world impact. What's on Offer Competitive salary (DOE) Opportunity to work on industry-leading technology High-impact role within a scaling business Collaborative and innovative engineering environment Interested? Apply via the link or contact me directly on (url removed) to discuss the role in more detail. INDTECH DCS Recruitment and all associated companies are committed to creating a working environment where diversity is celebrated and everyone is treated fairly, regardless of gender, gender identity, disability, ethnic origin, religion or belief, sexual orientation, marital or transgender status, age, or nationality

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 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)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) £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) £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 - 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) £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) £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.