1159 jobs found

An Institute in London are seeking a CRM Administrator to lead the management of their ticketing system, support colleagues with training, undertake internal fixes and to liaise with their external technical team. This role is pivotal in managing and improving their CRM systems and processes, building good internal and external relationships and highlighting developments and improvements to improve internal ways of working. Key Responsibilities: CRM Management & Data Integrity: Management of the CRM ticketing system. Reviewing requests and triaging them, undertaking non-technical internal fixes Working with external technical suppliers to manage technical tickets, deadlines and any issues Manage the integrity of data within the CRM, undertaking regular data reviews, de-duplications and cleansing processes Manage permissions Training of new starters and existing staff, undertaking 1-2-1 training and group sessions Develop and generate reports, dashboards, and visualisations to track key performance indicators (KPIs) and business metrics. To develop and run robust testing regimes to ensure automated processes are fit for purpose and meet business needs Being the first point of contact for staff and external suppliers Process Improvement & Automation: Analyse inefficiencies in current business workflows and identify CRM optimisation opportunities. Develop process maps, streamline workflows, manage user permissions, and implement automation to enhance overall operational efficiency. Development of CRM policies to ensure consistency and compliance. Maintain system performance, addressing inefficiencies whilst aligning CRM governance with organisational goals. Experience Required Knowledge of data management, system integration, automation processes (Databases, Power Apps) and AI technology. Advanced Excel skills and familiarity with other business systems ( LMS, CMS, etc.) SQL expertise Understanding of GDPR compliance and data governance Experience of working with Dynamics 365 CRM and having an understanding of the back-end design Strong analytical and problem-solving skills for driving impactful solutions Having the ability to foresee system improvements that will benefit ways of working Management of a ticketing system Delivery of CRM training to staff and development of training guides

Job Title: Assistant Quantity Surveyor / Quantity Surveyor Salary: 35,000 - 50,000 (DOE) Location: Motherwell - Officed based - Site visits as required Our client, a specialist roofing and cladding contractor based near Glasgow, is seeking a Assistant Quantity Surveyor / Quantity Surveyor to join their team due to continued growth. With a strong reputation for delivering high-quality projects in partnership with Tier 1 contractors, the business operates across the Central Belt on a range of roofing and fa ade packages. This is an excellent opportunity for a commercially aware Assistant Quantity Surveyor / Quantity Surveyor to take on a key role within a well-established contractor, supporting the successful delivery of multiple projects from pre-construction through to final account. Assistant Quantity Surveyor / Quantity Surveyor - Benefits Salary: 35,000 - 50,000 (DOE) 34 days' holiday (inclusive of Bank Holidays) Pension scheme Additional benefits to be discussed at a later stage Opportunity to work with a highly experienced team and leading contractors Strong pipeline of secured work and long-term stability Assistant Quantity Surveyor / Quantity Surveyor - Role Overview Managing project costs from initial stages through to final accounts Preparing and reviewing cost plans, valuations and financial reports Procuring subcontractor packages and managing supply chain relationships Monitoring project budgets, cost control and cash flow Managing variations, change control and contractual communications Liaising with site teams, clients and senior management Supporting multiple projects across roofing and cladding packages Ensuring projects are delivered within budget and commercial targets Assistant Quantity Surveyor / Quantity Surveyor - Requirements Professional qualification in Quantity Surveying (essential) Proven experience within the construction industry, ideally with a main contractor Strong commercial awareness and understanding of construction contracts Excellent communication and negotiation skills Ability to manage multiple projects and priorities Based within commuting distance of Glasgow and willing to travel across the Central Belt Full UK driving licence Bennett and Game Recruitment are a multi-disciplined technical recruitment agency based in Chichester, West Sussex operating across the UK with specialist teams covering a range of industries. We are acting as a Recruitment Agency in relation to this vacancy, and in accordance with GDPR by applying you are granting us consent to process your data, contact you about the services we offer, and submit your CV for the role you have applied for.

Business Development Manager £35,000-£45,000 Derby, Nottingham, Leicester, Chesterfield, and Birmingham Monday-Friday 8.00-5 pm Are you a dynamic Business Development Manager with a passion for fire safety, security, and risk protection? We're looking for a high-performing, customer-focused individual to drive growth within a well-established, UK-based protection specialist. The role Cultivate and close opportunities across sectors as a Business Development Manager Champion safety by promoting services such as fire alarm systems, risk assessments, emergency lighting, intruder alarms, access control, fire extinguishers, suppression systems, and more. Drive sales from initial lead to long-term client engagement, supporting both existing and new business growth. Collaborate with technical teams to tailor bespoke, standards-compliant solutions, ensuring seamless execution from enquiry, design, and installation to service and maintenance. Build and nurture strategic client relationships, positioning yourself as a trusted advisor on safety and compliance. Monitor market trends, competitor offerings, and customer needs to inform impactful commercial strategies. Minimum Skills Experience required Minimum 3-5 years of Industry experience in the Fire and Security sector as a Business Development Manager Strong sales and Negotiation Skills as a Business development manager Technical experience is a plus Proficiency in CRM Software and Microsoft Office Suite. Strong Organisational and time management skills. The Package Competitive salary and commission structure as a Business Development Manager Company Pension Company car Laptop About Precision People Precision People is a leading recruitment agency that specialises in sourcing top talent for Engineering, Technical, Sales, and Senior Management roles across a wide range of industries. With a focus on precision and quality, their team of expert recruiters works tirelessly to match the best candidates with the right employers, ensuring that both parties benefit from a successful partnership. Precision People has the expertise and resources to help you find the perfect role. With a deep understanding of the industry and a commitment to excellence, they have built a reputation for delivering exceptional results and exceeding their candidates' expectations. Interested? To apply for the Business Development Manager position, here are your two options: "This is the job for me! When can I start?" - Call now and let's talk through your experience. Ask for Kirsty Reeves on (phone number removed) between 8.00 am and 5.00 pm. "I think I'm right for this position, but I'm not sure I have enough to get an interview" - Click "apply now" so I can read your CV and let you know. PPTP

This interim role requires an experienced Interim System Architect/Implementation Lead to support a build and rollout of a finance system architecture within the education sector. The successful candidate will work on ensuring seamless integration and alignment of technology solutions with organisational goal. Client Details This is a education sector organisation committed to delivering impactful solutions through technology. As a medium-sized entity, they prioritise innovation and operational excellence in their mission to make a meaningful difference. The successful applicant must have experience to support the build and rollout the system (Sage intacct) Description Lead and support the build and rollout of Sage intacct - delivering a fully automotive system. Removing the need for manual entry and control risk areas Full understanding of the importance of the delivery of automated financial controls and processes Collaborate with stakeholders to ensure alignment with organisational goals. Evaluate existing systems and recommend improvements or upgrades. Oversee end-to-end implementation processes and ensure timely delivery. Provide technical guidance and support to internal teams and external partners. Develop and maintain comprehensive documentation for system architecture and processes. Identify and resolve technical challenges during the implementation phase. Ensure compliance with industry standards and organisational policies. Profile A successful Interim System Architect/Implementation Lead should have: Proven expertise in system architecture with sage intacct and the implementation within the education sector. Strong analytical and problem-solving skills with a focus on delivering practical solutions. Experience in managing technology projects from inception to completion. Proficiency in working with cross-functional teams and external partners. Excellent communication skills to convey technical concepts to non-technical stakeholders. A methodical approach to documenting processes and system designs Job Offer Competitive daily rate (DOE) Opportunity to contribute to impactful projects in the not-for-profit sector. Hybrid opportunity Immediate Start 9 month project.

AI Solution Architect - Senior Manager/Associate Director Capital Markets Location: Edinburgh Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13118 Senior AI Solution Architects are required to support the design, implementation and scaling of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI, cloud and data architecture, with experience designing enterprise AI solutions and translating business requirements into scalable technical architectures. You will play a key role in shaping AI architecture strategy, leading technical teams and supporting organisations as they move from strategy and experimentation through to enterprise deployment. You will work closely with AI Engineers, Data Scientists, Enterprise Architects, MLOps teams, business stakeholders and senior leadership to design, deliver and scale AI solutions that drive measurable business outcomes. Key responsibilities: Translating business objectives into AI architecture strategies, roadmaps and scalable solution designs Designing and implementing end to end AI and ML architectures across enterprise environments Defining scalable, performant and cost optimised deployment patterns across cloud, containerised and GPU enabled environments Supporting AI implementation programmes from proof of concept through to enterprise deployment and optimisation Evaluating and selecting technologies across open source and commercial platforms Designing and integrating AI solutions into existing enterprise systems and applications Working with AI Engineers, Data Scientists and technical teams to support AI delivery and scaling initiatives Supporting AI governance, security, risk and regulatory considerations throughout the delivery lifecycle Supporting architecture governance, technical review boards and design authorities Building relationships with technical and business stakeholders across large scale transformation programmes Producing solution design documentation, implementation plans and technical proposals Providing technical leadership and mentoring within multidisciplinary teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments Experience with LLMs, prompt engineering, embeddings, semantic search and RAG patterns Exposure to vector databases and agent frameworks such as LangChain, LangGraph or similar technologies Understanding of MLOps, LLMOps and model lifecycle management principles Experience designing APIs and integrating AI solutions into enterprise environments Strong understanding of modern data architectures and platform design principles Experience presenting architectural designs to technical and business stakeholders Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI architecture professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. For more information make an application today! Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)

AI Solution Architect - Senior Manager/Associate Director Capital Markets Location: Manchester Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13119 Senior AI Solution Architects are required to support the design, implementation and scaling of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI, cloud and data architecture, with experience designing enterprise AI solutions and translating business requirements into scalable technical architectures. You will play a key role in shaping AI architecture strategy, leading technical teams and supporting organisations as they move from strategy and experimentation through to enterprise deployment. You will work closely with AI Engineers, Data Scientists, Enterprise Architects, MLOps teams, business stakeholders and senior leadership to design, deliver and scale AI solutions that drive measurable business outcomes. Key responsibilities: Translating business objectives into AI architecture strategies, roadmaps and scalable solution designs Designing and implementing end to end AI and ML architectures across enterprise environments Defining scalable, performant and cost optimised deployment patterns across cloud, containerised and GPU enabled environments Supporting AI implementation programmes from proof of concept through to enterprise deployment and optimisation Evaluating and selecting technologies across open source and commercial platforms Designing and integrating AI solutions into existing enterprise systems and applications Working with AI Engineers, Data Scientists and technical teams to support AI delivery and scaling initiatives Supporting AI governance, security, risk and regulatory considerations throughout the delivery lifecycle Supporting architecture governance, technical review boards and design authorities Building relationships with technical and business stakeholders across large scale transformation programmes Producing solution design documentation, implementation plans and technical proposals Providing technical leadership and mentoring within multidisciplinary teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments Experience with LLMs, prompt engineering, embeddings, semantic search and RAG patterns Exposure to vector databases and agent frameworks such as LangChain, LangGraph or similar technologies Understanding of MLOps, LLMOps and model lifecycle management principles Experience designing APIs and integrating AI solutions into enterprise environments Strong understanding of modern data architectures and platform design principles Experience presenting architectural designs to technical and business stakeholders Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI architecture professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. For more information make an application today! Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)

Robotics Software Engineer (Flight Software) Up to 55,000 (flexible depending on experience) Excellent Benefits Package London / Oxfordshire, UK Hybrid ( 2 days a week from home) Permanent We are looking for a talented Robotics Software Engineer (Flight Software) to join a fast-growing AI and robotics safety startup. The business is continuing to expand its engineering capability as it develops cutting-edge software assurance systems for autonomous and robotics applications. The company is building advanced safety and assurance technology designed to ensure autonomous systems operate safely, predictably, and with optimal performance. Their solutions focus on robotics and AI environments where reliability, safety, and system assurance are critical. This is a fantastic opportunity to work on software that directly powers autonomous robotic systems. You will contribute to the design, development, integration, testing, and optimisation of robotics software components across perception, planning, control, and decision-making systems. We are looking for someone who enjoys working in a startup environment and is motivated by solving complex technical challenges. This role offers the opportunity to work on groundbreaking robotics and AI safety technology while helping shape products from an early stage. Key Responsibilities: Design, build, and integrate robotics software components within the wider product platform Develop algorithms across perception, planning, control, and decision-making Collaborate with embedded software engineers, systems architects, and AI/ML specialists to integrate components into the wider system Assist with testing, validation, optimisation, and reliability improvements Contribute to improving software development processes, tooling, and testing methodologies Stay up to date with the latest robotics software frameworks, tools, and algorithmic developments Key Skills Bachelor's or Master's degree in Computer Science, Aerospace, Robotics, Electrical Engineering, or a related discipline Practical experience in robotics, embedded systems, or autonomous systems Strong proficiency in C/C++ and/or Python Experience with robotics frameworks/tools such as ROS, Gazebo, or MoveIt Strong understanding of robotics concepts including perception, planning, control, and state estimation Experience with modern software development practices including version control, CI, and testing Strong analytical, debugging, and problem-solving skills Ability to work effectively within a multidisciplinary engineering team Must have or be eligible to obtain UK SC clearance Desirable Skills: Knowledge of safety-critical standards such as DO-178C, ISO 26262, or IEC 61508 Experience with simulation environments Experience with robotic hardware integration Aerospace, UAV, defence, or autonomous vehicle experience Startup or scale-up engineering experience What you get in return: Salary up to 55,000 Hybrid working with 2 days a week from home Company pension Cycle to work scheme Work from home flexibility Opportunity to work on industry-leading AI and robotics safety technology The chance to make a real impact on the future of autonomous system assurance This company is an equal opportunity employer and values diversity. They do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Interested? Please submit your CV via the link provided. Alternatively, for a confidential discussion about the role, please get in touch directly with (url removed) 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

Job Description: Our Client is a well-established Industrial Waste Management and recycled aggregates company, providing reliable waste collection, recycling and aggregate supply services across the region. Due to continued growth, they are seeking an experienced HGV 2 Grab driver to join their professional hard-working team As an HGV Class 2 Grab driver, you will be responsible for operating a grab lorry to collect, transport and deliver waste materials, recycled aggregates, and construction- related products safely and efficiently. You will work closely with site teams, customers, transport planners to ensure excellent service delivery. Duties: Operate an HGV Class 2 Grab vehicle in a safe and professional manner. Collect and deliver waste materials, recycled aggregates, soil and construction products. Load and unload materials using the vehicle mounted grab crane Conduct daily vehicle and equipment checks and report any defects complete all relevant paperwork and digital records accurately Ensure compliance with transport legislation,health & Safety regulations and company procedures. Provide excellent customer service while representing the company on site and the road. Maintain cleanliness and general upkeep of the vehicle Requirements: Valid HGV Class 2 (Category C) license Valid CPC and digital Tachograph Card Valid Gra/ Hiab certification Previous experience operating a grab lorry No more than 6 points showing on your license No DD, DR or IN10 endorsements showing Mon to Fri - start time may vary Pay rates: 180 per day - CIS 140 per day PAYE - accrued holidays 157 per day PAYE - holidays included This role is ideal for driven individuals seeking a dynamic position within logistics and transportation sectors. We value professionalism, safety consciousness, and excellent service delivery in all our drivers. Our market-leading flexible benefits scheme provides you with benefits that suit your lifestyle. We have a virtual GP on hand for you and members of your household. So, you can get expert advice by video or phone without having to leave your home. Free counselling sessions mental health and awareness. We offer financial well-being assistance through our Salary Finance scheme. For example, you could access 50% of your earned pay before payday for a small fee. When you join us, we'll give you a link to our flexible benefits platform, Perkify This gives you the chance to customise your benefits to best suit your lifestyle. You can choose from dining cards, coffee clubs, buying technology products at an affordable cost and much more! We give you access to high street discounts from thousands of well-known retailers, gyms and more through our Perkify platform. And we have a cycle-to-work scheme. Life cover is the greater of your equivalent annual salary or a minimum of 10,000 - giving peace of mind for your dependants. We also offer a save-as-you-earn scheme. We also give our employees a chance to win up to 1000 each week. Disclaimer: By submitting your resume to Westwood Recruitment Solutions Ltd, you acknowledge and agree to the following: Westwood Recruitment Solutions Ltd acts as an employment agency and will work to find suitable employment opportunities for you. We do not guarantee employment. You agree that all information submitted to Westwood Recruitment Solutions Ltd is accurate and truthful. You agree to hold Westwood Recruitment Solutions Ltd harmless for any liabilities arising from employment, and to treat all candidate data as confidential.

Corporate Associate London International Law Firm M&A & Private Equity Exposure A leading international law firm is seeking a Corporate Associate to join its growing London Corporate team. This is an excellent opportunity for a Corporate Associate to join a high-performing and collaborative department advising on M&A transactions, private equity investments, shareholder agreements and wider corporate advisory work for an impressive client base. You must have prior law firm experience to be considered for this role. The successful Corporate Associate will gain exposure to sophisticated domestic and cross-border transactions while working closely with highly regarded Partners and senior lawyers within the team. The firm continues to see significant growth across its Corporate practice and offers excellent long-term progression prospects for ambitious lawyers. The Corporate Associate will ideally have: 2-6 years PQE Strong Corporate transactional experience Excellent drafting and technical skills A commercially minded and proactive approach The firm offers high-quality work, strong mentoring and a modern hybrid working structure. Salary: 90,000 - 130,000

AI Solution Architect - Senior Manager/Associate Director Capital Markets Location: London Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Senior AI Solution Architects are required to support the design, implementation and scaling of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI, cloud and data architecture, with experience designing enterprise AI solutions and translating business requirements into scalable technical architectures. You will play a key role in shaping AI architecture strategy, leading technical teams and supporting organisations as they move from strategy and experimentation through to enterprise deployment. You will work closely with AI Engineers, Data Scientists, Enterprise Architects, MLOps teams, business stakeholders and senior leadership to design, deliver and scale AI solutions that drive measurable business outcomes. Key responsibilities: Translating business objectives into AI architecture strategies, roadmaps and scalable solution designs Designing and implementing end to end AI and ML architectures across enterprise environments Defining scalable, performant and cost optimised deployment patterns across cloud, containerised and GPU enabled environments Supporting AI implementation programmes from proof of concept through to enterprise deployment and optimisation Evaluating and selecting technologies across open source and commercial platforms Designing and integrating AI solutions into existing enterprise systems and applications Working with AI Engineers, Data Scientists and technical teams to support AI delivery and scaling initiatives Supporting AI governance, security, risk and regulatory considerations throughout the delivery lifecycle Supporting architecture governance, technical review boards and design authorities Building relationships with technical and business stakeholders across large scale transformation programmes Producing solution design documentation, implementation plans and technical proposals Providing technical leadership and mentoring within multidisciplinary teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments Experience with LLMs, prompt engineering, embeddings, semantic search and RAG patterns Exposure to vector databases and agent frameworks such as LangChain, LangGraph or similar technologies Understanding of MLOps, LLMOps and model lifecycle management principles Experience designing APIs and integrating AI solutions into enterprise environments Strong understanding of modern data architectures and platform design principles Experience presenting architectural designs to technical and business stakeholders Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI architecture professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. For more information make an application today! Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)

Senior AI Engineer Manager/Associate Director Capital Markets Location: London Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13114 Senior AI Engineering professionals are required to support the design, build and delivery of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI engineering and enterprise solution delivery within complex environments. You will play a key role in shaping AI strategy, leading teams and delivering enterprise AI solutions, helping organisations solve complex operational, technical and regulatory challenges through AI adoption at scale. You will work across multidisciplinary teams, collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications. Key responsibilities: Building and deploying AI prototypes, products and production ready solutions Designing and implementing end to end AI solutions that integrate with enterprise systems Working with LLMs, prompt engineering, RAG patterns, embeddings and fine tuning Developing AI agents and agentic workflows using modern frameworks Working with vector databases, APIs and modern data platforms Supporting AI deployment, serving patterns, evaluation frameworks and integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify technical, delivery, security, data privacy and regulatory risks Contributing to technical documentation, solution design and delivery planning Supporting AI implementation and scaling initiatives across complex environments Leading and developing teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environment Experience Required: Strong Python and SQL experience Applied AI engineering, ML engineering or software engineering background Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent frameworks Experience with vector databases such as Pinecone, Chroma or similar API development experience, ideally with FastAPI or similar frameworks Knowledge of MLOps, LLMOps, CI/CD or production deployment practices Experience designing or supporting evaluation frameworks for AI or agentic systems Experience working with modern data architectures and cloud platforms Understanding of AI risk, governance, security and regulatory considerations Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI engineering professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)

Senior AI Engineer Manager/Associate Director Capital Markets Location: Manchester Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13116 Senior AI Engineering professionals are required to support the design, build and delivery of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI engineering and enterprise solution delivery within complex environments. You will play a key role in shaping AI strategy, leading teams and delivering enterprise AI solutions, helping organisations solve complex operational, technical and regulatory challenges through AI adoption at scale. You will work across multidisciplinary teams, collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications. Key responsibilities: Building and deploying AI prototypes, products and production ready solutions Designing and implementing end to end AI solutions that integrate with enterprise systems Working with LLMs, prompt engineering, RAG patterns, embeddings and fine tuning Developing AI agents and agentic workflows using modern frameworks Working with vector databases, APIs and modern data platforms Supporting AI deployment, serving patterns, evaluation frameworks and integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify technical, delivery, security, data privacy and regulatory risks Contributing to technical documentation, solution design and delivery planning Supporting AI implementation and scaling initiatives across complex environments Leading and developing teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environment Experience Required: Strong Python and SQL experience Applied AI engineering, ML engineering or software engineering background Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent frameworks Experience with vector databases such as Pinecone, Chroma or similar API development experience, ideally with FastAPI or similar frameworks Knowledge of MLOps, LLMOps, CI/CD or production deployment practices Experience designing or supporting evaluation frameworks for AI or agentic systems Experience working with modern data architectures and cloud platforms Understanding of AI risk, governance, security and regulatory considerations Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI engineering professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)

AI Implementation Engineer - Manchester A growing technology-led business is looking to hire an AI Implementation Engineer to help drive practical AI adoption across multiple areas of the organisation. This is a hands-on role focused on delivering AI solutions from concept through to live deployment and business adoption. Working within IT and closely alongside operational and commercial teams, you will build and implement practical AI use cases using Azure, LLMs, machine learning, and AI agents - ensuring solutions are secure, integrated, scalable, and actively used across the business. The organisation is already exploring a broad range of AI initiatives and is looking for someone capable of getting hands-on with implementation, working collaboratively with existing technical teams, and helping shape the future AI capability of the business. This role would suit someone who enjoys building practical AI solutions, solving operational problems, and delivering measurable business impact in a fast-moving environment. Role Purpose Hands-on role responsible for delivering AI solutions from concept through to live deployment and business adoption. Working within IT and closely with business teams, you will build and implement practical AI use cases using Azure, LLMs, ML, and AI agents ensuring they are secure, integrated, scalable, and actively used. Key Responsibilities Design and build high-performing AI models tailored to specific business needs Lead rapid prototyping initiatives through to production delivery Work directly with the IT Infrastructure team to deploy AI models into production environments Ensure solutions use Private Endpoints and meet enterprise-grade security standards Work with operational and business teams to embed AI tools into day-to-day workflows Drive adoption and ensure teams are actively using implemented AI solutions Set up automated evaluation and monitoring frameworks for production AI environments, including hallucination detection, drift monitoring, and latency tracking (GenAIOps) Ensure AI solutions integrate securely with existing systems, data platforms, and APIs Collaborate with commercial stakeholders to assess project viability and business value before implementation Measure and track project impact, including efficiency gains, time savings, automation improvements, and quality outcomes Work closely with IT, development, and leadership teams to identify and prioritise AI opportunities across the organisation Required Experience Essential Deep expertise in Python and relevant AI/ML frameworks and SDKs Proven experience building RAG pipelines that operate effectively in production environments Hands-on experience with model packaging, deployment, and production AI workflows Strong understanding of enterprise infrastructure concepts including VNets, Entra ID, API Gateways, and secure integrations Experience working with at least one major enterprise AI cloud platform (Azure preferred) Strong SQL skills and experience working with both structured and unstructured data Experience building AI agents, workflow automation, and tool/API integrations Strong understanding of AI implementation, deployment, and operationalisation Ability to work closely with technical and non-technical stakeholders Strong problem-solving and communication skills Desirable Experience with LLMOps / GenAIOps tooling and monitoring frameworks Exposure to OCR, computer vision, voice AI, or conversational AI solutions Experience working in operational, retail, automotive, or customer-focused businesses Familiarity with AI governance, security, and scalability best practices Experience helping shape or build internal AI capabilities within a business Salary & Benefits Competitive salary depending on experience Quarterly bonus scheme Hybrid working arrangements 3 days office / 2 days remote Opportunity to shape AI capability within a growing business Strong long-term career progression opportunities Interested? Please click Apply Now! AI Implementation Engineer - Manchester

Our client, a leading technology and engineering company within the Defence & Security sector, is currently seeking an experienced AI/Machine Learning Engineer to join their team on a permanent basis. Key Responsibilities: Delivering novel AI/ML solutions to technically complex or novel research problems Leading teams of engineers across small research projects and larger multi-disciplinary development programmes Providing technical expertise in AI/ML disciplines, including Computer Vision, Reinforcement Learning, LLMs, and NLP Conceiving novel applications of AI/ML techniques and adapting academic research Developing and leading agile teams through complex software engineering tasks Mentoring junior engineers and providing technical guidance Supporting business development through technical bidding activities and early-stage client interactions Job Requirements: Proven experience in AI and Machine Learning R&D Significant experience in computer vision, reinforcement learning, and NLP Strong software engineering skills, particularly with Python and widely used software tooling Ability to lead agile teams and deliver complex projects at pace Technical leadership skills and experience guiding and mentoring junior engineers Eligibility to achieve Security Clearance (SC) Benefits: Competitive salary Flexible and hybrid working options Additional flexible benefits covering health, wellbeing, savings, protection, and entertainment Access to a vibrant community of professionals with shared interests and passion for technology Beautiful work location in Hampshire countryside, with on-site gym and ample parking If you are an experienced AI/Machine Learning Engineer looking for a challenging and rewarding role within the Defence & Security sector, we would love to hear from you. Apply now to join our client's dynamic and innovative team.

Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. Are you passionate about transforming data into actionable insights? Do you thrive in a fast-paced environment and want to play a key role in shaping the future of data management within the utilities sector? If so, we have an exciting opportunity for you! Role: Data Architect Duration: 6 Months (ext options) Location: Warwick (Hybrid, 1 day every 2 weeks in office) Rate: 950 pd (Umbrella) Overview: Our client is on a journey to enhance their Data & Insights platform, leveraging the power of Azure. As a Data Architect, you will lead the data modeling process and curate enterprise-level data, ensuring it aligns with business processes and analytics. This is your chance to make a significant impact in a live platform environment, guiding engineering teams and contributing to data-driven decision-making. Key Responsibilities: Develop & Maintain: Create and enhance enterprise-level conceptual, logical, and physical data models, expanding them as new data subject areas are integrated. Collaborate: Work closely with business stakeholders, architects, and engineering teams to gather and understand data requirements. Align & Optimize: Ensure data models are aligned with enterprise architecture strategy and optimize existing models for performance and scalability. Impact Analysis: Conduct thorough impact analyses for changes affecting the enterprise data platform. Support Engineers: Provide technical guidance to engineers on production issues, ensuring smooth operations. What You'll Bring: To be successful in this role, you should possess: Data Modelling Expertise: Strong experience with data modeling techniques (conceptual, logical, physical). Technical Proficiency: Skilled in SQL and familiar with database platforms such as SQL Server and Databricks. UML Knowledge: Expertise in using UML for effective data modeling. Tools Savvy: Experience with data modeling tools like Sparx EA. Data Warehousing & Lakes: Deep understanding of data warehousing and data lakes. Business Acumen: Strong analytical skills and the ability to translate business requirements into technical solutions. Governance Familiarity: Knowledge of data governance frameworks and industry data standards (e.g., ISO, DAMA-DMBOK). Why Join Us? Dynamic Environment: Engage with a diverse team and contribute to exciting data initiatives. Impactful Work: Play a crucial role in delivering "Data as a Product" and support the organization's strategic goals. Professional Growth : Opportunity to expand your skills in a collaborative atmosphere with access to cutting-edge technologies. If you're ready to take your career to the next level and contribute to a pivotal project within the utilities sector, we want to hear from you! Application Process: Ready to make a difference? Submit your application today , please answer screening questions and embark on an exciting journey with us! Join our client and help shape the future of data in the utilities industry-where your expertise meets innovation! Candidates will ideally show evidence of the above in their CV to be considered. Please be advised if you haven't heard from us within 48 hours then unfortunately your application has not been successful on this occasion, we may however keep your details on file for any suitable future vacancies and contact you accordingly. We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention.

Principal AI Scientist - Learning & Assessment AI Location: UK Remote (Candidates must be UK based) Salary: 110,000 - 125,000 Employment Type: Permanent The Opportunity We're working with an innovative technology-led organisation that is transforming how AI is used within learning, assessment, and workforce skills development. They are seeking a Principal AI Scientist to lead the scientific design, validation, and evolution of next-generation AI-powered assessment and learning solutions embedded directly into the flow of work. This is a senior individual contributor role suited to someone with deep expertise across AI/ML, psychometrics, measurement science, and production-scale intelligent systems. The successful candidate will operate as a scientific authority within the organisation, shaping methodology, influencing product direction, and ensuring AI-driven solutions are fair, explainable, scalable, and scientifically rigorous. The role offers the opportunity to work at the intersection of modern AI systems, applied research, and enterprise-scale product delivery. The Role As Principal AI Scientist, you will take ownership of the scientific and methodological direction of AI-enabled learning and assessment products. You will work closely with product leadership, engineering teams, data scientists, and domain experts to translate advanced research into production-ready systems that deliver measurable user and business outcomes. This position requires someone comfortable operating in highly complex environments with significant technical, ethical, and commercial considerations. Key Responsibilities Scientific Leadership & Product Ownership Lead the scientific strategy for AI-enabled assessment, learning, and skills products Define robust methodologies balancing innovation, scalability, fairness, validity, and explainability Act as the senior scientific authority for assessment and measurement decisions Establish scientific standards, reusable frameworks, and evaluation methodologies Lead validation studies to ensure reliability, consistency, fairness, and performance stability Define and monitor scientific KPIs including drift detection, bias indicators, and model effectiveness Identify and mitigate scientific and measurement risks associated with AI systems at scale AI, Machine Learning & Modern AI Systems Apply AI and machine learning techniques, including LLMs and foundation models, to learning and assessment use cases Support development of AI-powered capabilities such as: Skills inference Adaptive assessment Automated content generation AI-driven feedback and reasoning systems Contribute to the evaluation and governance of agentic AI workflows Partner with engineering teams to ensure scientific integrity is maintained throughout implementation and deployment Support lifecycle monitoring and continuous improvement of production AI systems Research, Innovation & Strategic Influence Translate research findings into scalable, commercially viable product capabilities Produce thought leadership content including whitepapers and scientific insights Influence product and AI strategy through scientific expertise and evidence-based recommendations Support internal and external discussions around responsible AI and ethical AI implementation Engage with enterprise stakeholders and senior leadership on scientific and AI-related topics Required Experience Advanced degree (MSc or PhD preferred) in: Psychometrics Educational Measurement Statistics Machine Learning Artificial Intelligence Data Science Or equivalent commercial experience Proven experience building or leading AI-enabled assessment or measurement systems Deep expertise in validation methodologies, statistical modelling, and measurement theory Strong applied experience with machine learning and AI systems in production environments Practical understanding of modern AI architectures including Large Language Models (LLMs) Experience collaborating closely with engineering and product teams Ability to influence technical and strategic decisions through expertise rather than direct authority Experience operating in complex, high-ambiguity environments with significant business or ethical risk considerations Desirable Experience Experience applying LLMs within learning, workforce skills, or assessment products Exposure to adaptive testing, continuous assessment, or automated item/content generation Experience evaluating or governing AI agentic workflows Background within learning technology, education technology, workforce development, or skills ecosystems Experience working on enterprise-scale or long-lived AI platforms What They're Looking For A scientifically rigorous thinker with strong commercial awareness Someone passionate about responsible and explainable AI Comfortable balancing research innovation with practical delivery Strong communicator able to work across technical and non-technical audiences A collaborative leader who enjoys solving complex real-world problems Package 110,000 - 125,000 salary Fully remote role within the UK High-impact position within a cutting-edge AI environment Opportunity to influence next-generation AI products at scale Please note: Applicants must be based in the UK. Sponsorship is not available for this position.

Software AI Engineer with solid understanding of how to build LLM based solutions is sought by a high growth FinTech with a hub in the Midlands. Working at the forefront of financial services AI innovation this Software AI Engineer will join a multi-disciplinary team that are turning ideas into production ready, market leading AI solutions. This role would suit a Software or Data Engineer with at least two years commercial experience in a broad range of technologies and a demonstratable passion for AI/ ML innovation who is looking for a truly collaborative, autonomous working environment with end to end project exposure. In return this Software AI Engineer can expect excellent career development and training opportunities within a market leading scale up This Software AI Engineer should have most of the following key skills: - A software engineering background - Python, JavaScript, Typescript node.js etc - General commercial LLM experience - Solid test driven development experience - Varied database exposure - PostgreSQL, MongoDB, CosmosDB - Cloud services exposure - Azure preferred but all considered - Very strong communication skills - Understanding of AI security guardrails - Experience working in a regulated or FinTech environment This Software AI Engineer will receive - Starting salary of between £65,000 - £70,000 base salary - Long term remote working - Extensive personal development scheme - 25 days holiday - Generous pension scheme - Truly autonomous, collaborative culture with extensive growth potential - Regular remuneration reviews So if you are a Software AI Engineer who wants to join a market leading business with innovation at its core please apply now to be considered Software AI Engineer Remote AI, machine learning, LLM, Python, PyTorch, Azure

Job Title: TM - High Performance Computing Pay Rate: 43.93ph Inside IR35 - PAYE Only Current End date: 31/01/2026 - foresee this being a 12-month contract Working Pattern: Hybrid 3 days on site - flexible on days, International Travel - Europe 3-4 times per year Location: Pyms Lane, Crewe, CW1 3PL Driving licence required Are you ready to drive innovation in the automotive industry? Join us as a TM - High Performance Computing and be part of a dynamic team committed to excellence! Key Responsibilities: Technical Authority: Lead the High-Performance Computer 4 (HCP4) initiatives for BEV/PHEV architectures. Provide in-depth technical knowledge and guidance to achieve business objectives and timely project deliveries. Deliverables Management: Accountable for ensuring deliverables meet specified timelines, quality standards, and budget constraints. Utilize Key Performance Indicators (KPIs) to monitor progress and performance. Cross-Functional Collaboration: Work closely with Engineering, Manufacturing, Quality, and Suppliers. Foster effective communication to ensure seamless cross-functional collaboration. Strategic Direction: Develop and influence the technical roadmap for HCP4. Stay updated with industry innovations and align strategic opportunities with business goals. Continuous Development: Committed to personal and professional growth. Lead initiatives for process and method improvements to enhance departmental capabilities. What You Bring: Experience in Automotive: Proven experience in the Automotive industry, particularly in ECU delivery and the product development process from concept to production. Strong Communication Skills: Exceptional influencing and communication skills, with a knack for building positive relationships across teams. Technical Expertise: Demonstrable knowledge in Body Control systems and engineering disciplines, coupled with the ability to share insights effectively. Business Acumen: Understanding of business cycle planning and the ability to make strategic decisions within the business context. Education: Higher Engineering degree or equivalent. Chartered Engineer status is preferred or actively working towards it. Language Skills: Proficiency in German is a plus! Why Join Us? Innovative Environment: Be part of a team that thrives on creativity and innovation in automotive technology. Professional Growth: Opportunities for continuous learning and development in a fast-paced industry. Collaborative Culture: Work with a talented team that values collaboration and open communication. Impactful Work: Contribute to cutting-edge projects that shape the future of the automotive landscape. Ready to take the next step in your career? If you are enthusiastic about high-performance computing and have a passion for the automotive industry, we want to hear from you! Apply today and drive your career forward with us! Join us in making a difference! "If you have not received a response within 5 working days of submitting your application, please assume that your application has not been successful on this occasion." Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you. We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention. Adecco acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers. The Adecco Group UK & Ireland is an Equal Opportunities Employer. By applying for this role your details will be submitted to Adecco. Our Candidate Privacy Information Statement explains how we will use your information - please copy and paste the following link in to your browser (url removed)

Job Title: Business Development Manager Location: Remote (1 day per month in London) Salary: £40,000 + Commission Role Overview: Our client is seeking an experienced and results-driven Business Development Manager to drive employer engagement and generate new business opportunities within the IT and technology training sector. This role focuses on identifying, developing, and onboarding new employer partners, promoting both apprenticeship programmes and commercial tech training solutions. As the Business Development Manager , you will support organisations in building future-ready digital workforces through programmes such as Software Development, Cyber Security, Data, Cloud, and IT Support, working with both levy and non-levy employers to maximise the value of apprenticeships and funded training. This is a target-driven role. The ideal Business Development Manager will have strong sales capability, excellent relationship-building skills, and a solid understanding of the UK apprenticeship and digital skills landscape. Key Responsibilities Business Development Manager (IT & Tech) Proactively identify, target, and secure new employer partnerships across the IT, digital, and technology sectors, as well as organisations with digital skills needs. Promote a portfolio of IT and tech apprenticeship programmes and commercial training courses, positioning them as strategic workforce and upskilling solutions. Sell both funded apprenticeship pathways and commercial short courses/bootcamps in areas such as Software Engineering, Cyber Security, Data Analytics, AI, and Cloud Technologies. Achieve and exceed monthly and quarterly targets for new learner starts, employer sign-ups, and revenue (apprenticeships + commercial training). Build and manage a strong sales pipeline, from lead generation through to onboarding and account growth. Engage with levy-paying and non-levy employers, advising on how to utilise levy funds, co-investment, and commercial training budgets. Conduct detailed digital skills gap analysis with employers, recommending tailored IT training and apprenticeship solutions. Provide expert guidance on apprenticeship funding rules, levy transfer opportunities, and compliance, alongside commercial pricing options. Maintain accurate CRM records, track activity, and produce performance reports aligned to sales KPIs. Represent the organisation at tech events, networking forums, careers fairs, and industry conferences. Collaborate with internal delivery, curriculum, and learner engagement teams to ensure a seamless onboarding and high-quality client experience. Ensure all apprenticeship activity aligns with ESFA funding rules and regulatory requirements, while commercial offerings meet agreed service standards. Skills and Experience Proven experience in business development, B2B sales, or employer engagement, ideally within IT training, apprenticeships, or tech education. Strong understanding of the UK apprenticeship system, including levy and non-levy funding. Demonstrated success in selling training solutions, digital skills programmes, or SaaS/tech-related services. Ability to confidently engage and influence senior stakeholders, HR leaders, L&D teams, and technical decision-makers. Strong knowledge or interest in IT and technology disciplines (e.g., software, cyber, data, cloud). Excellent negotiation, influencing, and closing skills with a consultative sales approach. Highly organised, with the ability to manage multiple opportunities and a fast-moving pipeline. Experience using CRM systems, Microsoft Office, and digital sales tools. Self-motivated, target-driven, and commercially focused. Paul Feldman is the National Skills Agency Data Protection Officer. Your data will be stored until notice is given by you for it to be removed. Our Data Protection Policy will be forwarded to you on request. As we get a high number of applications we may be unable to give feedback to unsuccessful candidates. We will retain your details to keep you informed of other opportunities. National Skills Agency Ltd is acting as an Employment Agency in relation to this vacancy and is an Equal Opportunities employer we welcome applicants from all backgrounds.

Job Title: Business Development Manager Location: Remote (1 day per month in London) Salary: £40,000 + Commission Role Overview: Our client is seeking an experienced and results-driven Business Development Manager to drive employer engagement and generate new business opportunities within the IT and technology training sector. This role focuses on identifying, developing, and onboarding new employer partners, promoting both apprenticeship programmes and commercial tech training solutions. As the Business Development Manager , you will support organisations in building future-ready digital workforces through programmes such as Software Development, Cyber Security, Data, Cloud, and IT Support, working with both levy and non-levy employers to maximise the value of apprenticeships and funded training. This is a target-driven role. The ideal Business Development Manager will have strong sales capability, excellent relationship-building skills, and a solid understanding of the UK apprenticeship and digital skills landscape. Key Responsibilities Business Development Manager (IT & Tech) Proactively identify, target, and secure new employer partnerships across the IT, digital, and technology sectors, as well as organisations with digital skills needs. Promote a portfolio of IT and tech apprenticeship programmes and commercial training courses, positioning them as strategic workforce and upskilling solutions. Sell both funded apprenticeship pathways and commercial short courses/bootcamps in areas such as Software Engineering, Cyber Security, Data Analytics, AI, and Cloud Technologies. Achieve and exceed monthly and quarterly targets for new learner starts, employer sign-ups, and revenue (apprenticeships + commercial training). Build and manage a strong sales pipeline, from lead generation through to onboarding and account growth. Engage with levy-paying and non-levy employers, advising on how to utilise levy funds, co-investment, and commercial training budgets. Conduct detailed digital skills gap analysis with employers, recommending tailored IT training and apprenticeship solutions. Provide expert guidance on apprenticeship funding rules, levy transfer opportunities, and compliance, alongside commercial pricing options. Maintain accurate CRM records, track activity, and produce performance reports aligned to sales KPIs. Represent the organisation at tech events, networking forums, careers fairs, and industry conferences. Collaborate with internal delivery, curriculum, and learner engagement teams to ensure a seamless onboarding and high-quality client experience. Ensure all apprenticeship activity aligns with ESFA funding rules and regulatory requirements, while commercial offerings meet agreed service standards. Skills and Experience Proven experience in business development, B2B sales, or employer engagement, ideally within IT training, apprenticeships, or tech education. Strong understanding of the UK apprenticeship system, including levy and non-levy funding. Demonstrated success in selling training solutions, digital skills programmes, or SaaS/tech-related services. Ability to confidently engage and influence senior stakeholders, HR leaders, L&D teams, and technical decision-makers. Strong knowledge or interest in IT and technology disciplines (e.g., software, cyber, data, cloud). Excellent negotiation, influencing, and closing skills with a consultative sales approach. Highly organised, with the ability to manage multiple opportunities and a fast-moving pipeline. Experience using CRM systems, Microsoft Office, and digital sales tools. Self-motivated, target-driven, and commercially focused. Paul Feldman is the National Skills Agency Data Protection Officer. Your data will be stored until notice is given by you for it to be removed. Our Data Protection Policy will be forwarded to you on request. As we get a high number of applications we may be unable to give feedback to unsuccessful candidates. We will retain your details to keep you informed of other opportunities. National Skills Agency Ltd is acting as an Employment Agency in relation to this vacancy and is an Equal Opportunities employer we welcome applicants from all backgrounds.