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lead project manager gen ai

Job Description .buttontext1967aeac1bf131b4 a{ border: 1px solid transparent; } .buttontext1967aeac1bf131b4 a: focus{ border: 1px dashed #757575 !important; outline: none !important; }
 .buttontextf4a8494fbc44c17a a{ border: 1px solid transparent; } .buttontextf4a8494fbc44c17a a: focus{ border: 1px dashed #757575 !important; outline: none !important; }
 Job Requisition ID: 44692
 Job Closing Date: 13/07/2026
 London, GBR, W1A 1AA
 | London, GBR, W1A 1AA
 | Cardiff, GBR, CF10 1FT
 | Cardiff, GBR, CF10 1FT
 | Salford, GBR, M50 2QH
 | Salford, GBR, M50 2QH
 
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 Job Details
 
Job band : E
 Contract type : Permanent, full-time
 Department : Strategy and Transformation
 Location: London, Salford, Cardiff
 Salary range : £70,000 -£85,000 depending on relevant skills, knowledge and experience. The expected salary range for this role reflects internal benchmarking and external market insights.
 
The closing date for applications is 13th July 2026
 
Purpose Of The Role
 
The Lead Project Manager will play a central role within the BBC’s Generative AI Team, leading a small number of medium to large-scale innovation projects. This role will work across business, data and delivery teams to take projects from a prioritised hypothesis through to a validated hypothesis, pilot delivery and effective handover to the business for scaling. The role requires strong project discipline, sound judgement and the ability to operate confidently in a fast-moving, evolving and matrix-managed environment.
 
WHY JOIN THE TEAM
 
The Generative AI Programme, part of the Strategy & Transformation team, helps the BBC realise value from rapidly evolving AI capabilities in a way that is practical, responsible and aligned to the BBC’s public service mission. The team’s activities include enabling adoption of AI tools across the organisation; fostering innovation; finding opportunities to use AI to work more efficiently as an organisation, and leading the BBC's engagement on the wider AI issues that shape our operating environment
 
YOUR KEY RESPONSIBILITIES AND IMPACT
 
Lead a small portfolio of medium to large-scale innovation and optimisation projects within the GenAI team, ensuring they are well-scoped, well-governed and delivered to agreed outcomes.
 Oversee end-to-end delivery, from an initial prioritised problem space through discovery, validation and pilot execution, to successful handover into the business for scaling.
 Work closely with business leaders, process experts, data engineers, change specialists, and where needed legal and procurement colleagues, to coordinate delivery and resolve issues at pace.
 Build strong relationships across a wide range of stakeholders in a matrix-managed environment, enabling teams across divisions to plan, prioritise and deliver work effectively together.
 Establish and maintain clear project gates, decision points, delivery plans, resource assumptions and risk management, ensuring stakeholders have clarity on progress, dependencies and trade-offs.
 Support rapid experimentation while maintaining appropriate project rigour, with a clear focus on key deliverables, business readiness and adoption.
 Work closely with the GenAI team’s senior leaders s to ensure projects are delivered in a way that supports wider programme priorities and sustainable business change.
 Your Skills and Experience
 
ESSENTIAL CRITERIA
 
Strong experience of complex and innovation projects in large organisations from early-stage problem definition through structured experimentation to pilot delivery and effective handover into operational teams.
 The ability to balance pace, rigour and risk in the delivery of complex initiatives, ideally in areas involving new technologies or organisational change.
 Experience of creating delivery environments that support collaboration, learning and continuous improvement, particularly where innovation or experimentation is involved.
 Strong project management skills, including experience of working in cross-functional teams to deliver high quality planning, governance, risk management, resource oversight, dependency management and reporting against key milestones and decision points.
 Excellent communication and influencing skills, with the ability to articulate complex delivery issues, diverse stakeholder considerations, subject matter expert viewpoints and project choices clearly and credibly.
 
Desirable criteria
 
Experience working in environments that involve emerging technologies or innovation.
 Experience working with multidisciplinary teams that include business process redesign, data science and change management functions.
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 Disclaimer
 
This job description is a written statement of the essential characteristics of the job, with its principal accountabilities, incorporating a note of the skills, knowledge and experience required for a satisfactory level of performance. This is not intended to be a complete, detailed account of all aspects of the duties involved.
 
Please note: If you were to be offered this role, the BBC will conduct Employment screening checks which include Reference checks; Eligibility to work checks; and if applicable to the role, Safeguarding and Adverse media/Social media checks. Any offer made is conditional on these checks being satisfactory.
 
Before your start date, you may need to disclose any unspent convictions or police charges, in line with our Recruitment policy. This allows us to discuss any support you may need and assess any risks. Failure to disclose may result in the withdrawal of your offer.
 
For any general queries, please contact: bbchr@bbc.co.uk
 
We are unable to accept applications via CV and only applications made online will be considered. Please click on the APPLY NOW button to proceed with your application.
 
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 Redeployment
 
The BBC is committed to redeploying employees seeking suitable alternative employment within the BBC and they will be given priority consideration ahead of other applicants. Priority consideration means for those employees seeking redeployment their application will be considered alongside anyone else at risk of redundancy, prior to any individuals being considered who are not at risk.

Lead Project Manager - Gen AI

Accenture

<div>YOU ARE
As an AI/ML Computational Scientist, you will design, build, and operationalize artificial intelligence and machine learning solutions for enterprise clients, combining custom models with cloud and third-party AI services to deliver production-ready outcomes. Your spans the full solution lifecycle &mdash; assessing client needs and data, selecting and customizing models (including Deep Learning, Generative AI, and Large Language Models), designing scalable data and DevOps &amp; MLOps pipelines for training and production, and ensuring quality, value, and reliability of deployed systems.
THE WORK<ul><li>
Formulate real-world problems into practical, efficient, and scalable AI and Machine Learning solutions</li><li>
Develop and implement machine learning algorithms, models, and computational systems; design and build scalable data pipelines to support model training and production with DevOps &amp; MLOps</li><li>
Customize and apply Deep Learning and Gen AI models for various use cases based on the business needs, data availability, system and infrastructure requirements - including edge device and HPC</li><li>
Engage in research and development of new AI and high-performance compute algorithms, models, and simulations along with their applications to solve complex business problems at client sites</li><li>
Work with large-scale datasets and utilize data preprocessing techniques to ensure high-quality input for training and production</li><li>
Implement and maintain efficient data storage and retrieval mechanisms for models and knowledge using appropriate tools</li><li>
Justify the value of model approaches in business problems</li><li>
Collaborate with teams from both business and technical sides, including users, use case representatives, business owners, engineers, architects, and UI designers, to achieve end-to-end project goals and integrate into production</li></ul></div>
 
<div>EDUCATION<ul><li>
Bachelor's Degree in Computer Science, Computer Engineering, Data Science, or a related field</li></ul>
BASIC (REQUIRED) QUALIFICATION<ul><li>
Work or coursework experience with machine learning engineering or machine learning science, deploying models in production at scale , including monitoring, alerting, automatic bug filing and auditing.</li><li>
Work or coursework experience in applying theoretical foundations of computer science, including computer system architecture, system engineering, and programming</li></ul>
PREFERRED QUALIFICATION<ul><li>
Proficiency in Python and python-based AI/ML framework and familiarity with relevant libraries and frameworks (e.g., TensorFlow, PyTorch)..</li><li>
Experience working with language models like LLM's APIs and optimizing their usage for specific applications.</li><li>
Experience with the following programming languages: Python, C++, Java, R, SQL</li><li>
Strong written &amp; verbal communication skills and ability to communicate complex technical concepts to non-technical stakeholders</li><li>
Strong client-facing skillsets in a consulting environment</li><li>
Strong cross-functional skills with the ability to collaborate with a variety of internal and client-side teams</li><li>
Entrepreneurial mindset with a curiosity and passion for emergent tech and driving innovation</li></ul></div>

AI/ML Computational Science Senior Analyst

<div>YOU ARE
As an AI/ML Computational Scientist, you will design, build, and operationalize artificial intelligence and machine learning solutions for enterprise clients, combining custom models with cloud and third-party AI services to deliver production-ready outcomes.
Your spans the full solution lifecycle &mdash; assessing client needs and data, selecting and customizing models (including Deep Learning, Generative AI, and Large Language Models), designing scalable data and MLOps/LLMOps pipelines for training and production, and ensuring quality, value, and reliability of deployed systems.
THE WORK<ul><li>
Formulate real-world problems into practical, efficient, and scalable AI and Machine Learning solutions</li><li>
Develop and implement machine learning algorithms, models, and computational systems; design and build scalable data pipelines to support model training and production with DevOps &amp; MLOps</li><li>
Customize and apply Deep Learning and Gen AI models for various use cases based on the business needs, data availability, system and infrastructure requirements - including edge device and HPC</li><li>
Engage in research and development of new AI and high-performance compute algorithms, models, and simulations along with their applications to solve complex business problems at client sites</li><li>
Work with large-scale datasets and utilize data preprocessing techniques to ensure high-quality input for training and production</li><li>
Implement and maintain efficient data storage and retrieval mechanisms for models and knowledge using appropriate tools</li><li>
Justify the value of model approaches in business problems</li><li>
Collaborate with teams from both business and technical sides, including users, use case representatives, business owners, engineers, architects, and UI designers, to achieve end-to-end project goals and integrate into production</li></ul></div>
 
<div>EDUCATION<ul><li>
Bachelor's Degree or equivalent</li></ul>
BASIC (REQUIRED) QUALIFICATION<ul><li>
Experience as a machine learning engineer or scientist, deploying models in production at scale , including monitoring, alerting, automatic bug filing and auditing.</li><li>
Experience in applying theoretical foundations of computer science, including computer system architecture, system engineering, and programming</li><li>
Experience in distributed computing systems and architecture that may include big data, high-performance compute, engineering simulations, scientific compute, grid and cloud computing, distributed networks</li><li>
Experience in building and deploying AI/ML based software to a cloud environment.</li></ul>
PREFERRED QUALIFICATION<ul><li>
Proficiency in Python and python-based AI/ML framework and familiarity with relevant libraries and frameworks (e.g., TensorFlow, PyTorch)..</li><li>
Experience working with language models like LLM's APIs and optimizing their usage for specific applications.</li><li>
Experience with the following programming languages: Python, C++, Java, R, SQL</li><li>
Strong written &amp; verbal communication skills and ability to communicate complex technical concepts to non-technical stakeholders</li><li>
Strong client-facing skillsets in a consulting environment</li><li>
Strong cross-functional skills with the ability to collaborate with a variety of internal and client-side teams</li><li>
Entrepreneurial mindset with a curiosity and passion for emergent tech and driving innovation</li><li>
MS or PhD in related field preferred (computer science, engineering, etc.)</li></ul></div>

AI/ML Computational Science Assoc Manager

<div>YOU ARE
As an AI/ML Computational Scientist, you will design, build, and operationalize artificial intelligence and machine learning solutions for enterprise clients, combining custom models with cloud and third-party AI services to deliver production-ready outcomes. Your spans the full solution lifecycle &mdash; assessing client needs and data, selecting and customizing models (including Deep Learning, Generative AI, and Large Language Models), designing scalable data and MLOps/LLMOps pipelines for training and production, and ensuring quality, value, and reliability of deployed systems.
THE WORK<ul><li>
Formulate real-world problems into practical, efficient, and scalable AI and Machine Learning solutions</li><li>
Develop and implement machine learning algorithms, models, and computational systems; design and build scalable data pipelines to support model training and production with DevOps &amp; MLOps</li><li>
Customize and apply Deep Learning and Gen AI models for various use cases based on the business needs, data availability, system and infrastructure requirements - including edge device and HPC</li><li>
Engage in research and development of new AI and high-performance compute algorithms, models, and simulations along with their applications to solve complex business problems at client sites</li><li>
Work with large-scale datasets and utilize data preprocessing techniques to ensure high-quality input for training and production</li><li>
Implement and maintain efficient data storage and retrieval mechanisms for models and knowledge using appropriate tools</li><li>
Justify the value of model approaches in business problems</li><li>
Collaborate with teams from both business and technical sides, including users, use case representatives, business owners, engineers, architects, and UI designers, to achieve end-to-end project goals and integrate into production</li></ul></div>
 
<div>EDUCATION<ul><li>
Bachelor's Degree or equivalent</li></ul>
BASIC (REQUIRED) QUALIFICATION<ul><li>
Experience as a machine learning engineer or scientist, deploying models in production at scale , including monitoring, alerting, automatic bug filing and auditing.</li><li>
Experience in applying theoretical foundations of computer science, including computer system architecture, system engineering, and programming</li><li>
Experience in distributed computing systems and architecture that may include big data, high-performance compute, engineering simulations, scientific compute, grid and cloud computing, distributed networks</li><li>
Experience in building and deploying AI/ML based software to a cloud environment.</li></ul>
PREFERRED QUALIFICATION<ul><li>
Proficiency in Python and python-based AI/ML framework and familiarity with relevant libraries and frameworks (e.g., TensorFlow, PyTorch).</li><li>
Experience working with language models like LLM's APIs and optimizing their usage for specific applications.</li><li>
Experience with the following programming languages: Python, C++, Java, R, SQL</li><li>
Strong written &amp; verbal communication skills and ability to communicate complex technical concepts to non-technical stakeholders</li><li>
Strong client-facing skillsets in a consulting environment</li><li>
Strong cross-functional skills with the ability to collaborate with a variety of internal and client-side teams</li><li>
Entrepreneurial mindset with a curiosity and passion for emergent tech and driving innovation</li><li>
MS or PhD in related field preferred (computer science, engineering, etc.)</li></ul></div>

AI/ML Computational Science Manager

<div>YOU ARE
As a Senior AI/ML Computational Scientist, you will design, build, and operationalize artificial intelligence and machine learning solutions for enterprise clients, combining custom models with cloud and third-party AI services to deliver production-ready outcomes.
Your spans the full solution lifecycle &mdash; assessing client needs and data, selecting and customizing models (including Deep Learning, Generative AI, and Large Language Models), designing scalable data and MLOps/LLMOps pipelines for training and production, and ensuring quality, value, and reliability of deployed systems.
THE WORK<ul><li>
Formulate real-world problems into practical, efficient, and scalable AI and Machine Learning solutions</li><li>
Develop and implement machine learning algorithms, models, and computational systems; design and build scalable data pipelines to support model training and production with DevOps &amp; MLOps</li><li>
Customize and apply Deep Learning and Gen AI models for various use cases based on the business needs, data availability, system and infrastructure requirements - including edge device and HPC</li><li>
Engage in research and development of new AI and high-performance compute algorithms, models, and simulations along with their applications to solve complex business problems at client sites</li><li>
Work with large-scale datasets and utilize data preprocessing techniques to ensure high-quality input for training and production</li><li>
Implement and maintain efficient data storage and retrieval mechanisms for models and knowledge using appropriate tools</li><li>
Justify the value of model approaches in business problems</li><li>
Collaborate with teams from both business and technical sides, including users, use case representatives, business owners, engineers, architects, and UI designers, to achieve end-to-end project goals and integrate into production</li></ul></div>
 
<div>EDUCATION<ul><li>
Bachelor's Degree or equivalent</li></ul>
BASIC (REQUIRED) QUALIFICATION<ul><li>
Experience as a machine learning engineer or scientist, deploying models in production at scale , including monitoring, alerting, automatic bug filing and auditing.</li><li>
Experience in applying theoretical foundations of computer science, including computer system architecture, system engineering, and programming</li><li>
Experience in distributed computing systems and architecture that may include big data, high-performance compute, engineering simulations, scientific compute, grid and cloud computing, distributed networks</li><li>
Experience in building and deploying AI/ML based software to a cloud environment.</li></ul>
PREFERRED QUALIFICATION<ul><li>
Proficiency in Python and python-based AI/ML framework and familiarity with relevant libraries and frameworks (e.g., TensorFlow, PyTorch).</li><li>
Experience working with language models like LLM's APIs and optimizing their usage for specific applications.</li><li>
Experience with the following programming languages: Python, C++, Java, R, SQL</li><li>
Strong written &amp; verbal communication skills and ability to communicate complex technical concepts to non-technical stakeholders</li><li>
Strong client-facing skillsets in a consulting environment</li><li>
Strong cross-functional skills with the ability to collaborate with a variety of internal and client-side teams</li><li>
Entrepreneurial mindset with a curiosity and passion for emergent tech and driving innovation</li><li>
MS or PhD in related field preferred (computer science, engineering, etc.)</li></ul></div>

AI/ML Computational Science Senior Manager

NTT DATA

<div>We&rsquo;re a business with a global reach that empowers local teams, and we undertake hugely exciting work that is genuinely changing the world. Our advanced portfolio of consulting, applications, business process, cloud, and infrastructure services will allow you to achieve great things by working with brilliant colleagues, and clients, on exciting projects.
Our inclusive work environment prioritises mutual respect, accountability, and continuous learning for all our people. This approach fosters collaboration, well-being, growth, and agility, leading to a more diverse, innovative, and competitive organisation. We are also proud to share that we have a range of Inclusion Networks such as: the Women&rsquo;s Business Network, Cultural and Ethnicity Network, LGBTQ+ &amp; Allies Network, Neurodiversity Network and the Parent Network.
For more information on Diversity, Equity and Inclusion please click here: Creating Inclusion Together at NTT DATA UK | NTT DATA
Please note: You must be eligible for SC (Security Check) clearance to apply for this position.
Key Responsibilities 

<ul><li>Deploy solution into new customer tenant (based on a re-usable method)</li>
<li>Onboard customer documents into the solution, including making sure diagrams have been properly parsed.</li>
<li>Configure Langchain for vector processing and graph extraction</li>
<li>Create agents to generate new outputs from existing knowledge graph</li>
<li>Tune prompts so that customers can find the information they are looking for</li>
<li>Collaborate with off-shore teams and share knowledge with other AI developers around the world.</li>
</ul>
Required Skills and Qualifications: (must have experience)
<ul><li>Technical data engineer with a strong desire and drive to learn new technologies, and to apply these technologies in new spaces</li>
<li>Someone with a real technical facility to solve problems without significant oversight or leadership</li>
<li>An understanding of AI, and AI ethics</li>
<li>An understanding of data safety in use of Large Language Models</li>
<li>Knowledge and experience of either AWS or Azure:</li>
<li>AWS (boto3, Bedrock, Sagemaker, Lambda, S3, EC2)</li>
<li>Azure (azure Open AI service, Cosmos DB)</li>
<li>Python</li>
<li>LangGraph</li>
<li>Neo4j/cypher</li>
<li>Other coding languages/frameworks e.g. Java/.Net</li>
<li>AI RAG (retrieval augmented generation)</li>
<li>Graph RAG</li>
<li>Few shot detection</li>
<li>Embedding models/LLMs - how they work, how they are trained</li>
</ul>
We offer a range of tailored benefits that support your physical, emotional, and financial wellbeing. Our Learning and Development team ensure that there are continuous growth and development opportunities for our people. We also offer the opportunity to have flexible work options.
You can find more information about NTT DATA UK &amp; Ireland here: https://uk.nttdata.com/
We are an equal opportunities employer. We believe in the fair treatment of all our employees and commit to promoting equity and diversity in our employment practices. We are also a proud Disability Confident Committed Employer - we are committed to creating a diverse and inclusive workforce. We actively collaborate with individuals who have disabilities and long-term health conditions which have an effect on their ability to do normal daily activities, ensuring that barriers are eliminated when it comes to employment opportunities. In line with our commitment, we guarantee an interview to applicants who declare to us, during the application process, that they have a disability and meet the minimum requirements for the role. If you require any reasonable adjustments during the recruitment process, please let us know. Join us in building a truly diverse and empowered team.
We are seeking highly skilled and experienced Gen AI specialist to join our dynamic Gen AI COE inside NTT DATA UK&amp;I. The ideal candidate will have a strong background in designing and implementing AI solutions ideally using AWS technology. This role requires a deep understanding of generative AI techniques. 

The selected candidate would eventually take on a wider range of responsibilities, within our COE, for example to work on novel projects. The GraphRAG solution is however a good place to start and be a proving ground.</div>

GenAI developer

Climax Studios

<div>
 At The Multiplayer Group (MPG), we create world-class multiplayer experiences through Co-Dev and Full-Dev partnerships. Our people-first culture supports a diverse, global team in a welcoming and flexible work environment. With teams spread worldwide, we prioritise connection&mdash;both online and in person. Giving back is central to who we are, with a focus on local communities, education, and sustainability.
 
 
 We are looking for a talented, fully remote Software Engineer. You&rsquo;ll be UK or EU based and you&rsquo;ll be working in a team of backend engineers across MPG. We deliver, deploy and help integrate backend services alongside external co-dev clients as part of industry leading game projects, and collaborate to define solutions and implement features on time and to a high standard.
 
 
 We&rsquo;re also growing our pool of AWS Certified engineers - and we encourage you to study for the certification using your Learning &amp; Development budget when you join us.
 
 
 
 Requirements
 
 
 
 <ul>
 <li>
 Experience in game development and having worked on at least one game title in a commercial setting developing server backends for AAA games, free-to-play (mobile) games, casino apps or similar, with a large number of concurrent users
 </li>
 <li>
 Production experience with at least one of Java, Golang, C#, C++, Kotlin
 </li>
 <li>
 Experience with one or more cloud platforms: Amazon Web Services, Google Cloud and Microsoft Azure; having an AWS Certification (Associate or above) would be advantageous
 </li>
 <li>
 Experience with infrastructure as code tools, e.g. Terraform
 </li>
 <li>
 Demonstrable database experience with both SQL and NoSQL
 </li>
 <li>
 Experience building distributed applications
 </li>
 <li>
 Experience with Git or Perforce, or other source control software
 </li>
 <li>
 Ability to adapt to new tools, languages, and concepts as required by the project
 </li>
 <li>
 Knowledge of Microservices and Service Oriented Architectures (SOA), especially Kubernetes and Docker
 </li>
 <li>
 Have used or built a CI/CD pipeline to validate and test code
 </li>
 <li>
 An understanding of how to use LLMs to process and query structured and unstructured data
 </li>
 <li>
 Experience using Gen AI for code generation
 </li>
 <li>
 Ability to create supporting documentation, designs, comments, etc
 </li>
 <li>
 Excellent time management and ability to work autonomously
 </li>
 <li>
 Attention to detail with ability to comprehend and follow direction
 </li>
 <li>
 Clear communicator with the ability to verbalise conceptual thoughts and the willingness to accept constructive critique
 
 
 </li>
 </ul>
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Individual contribution: construct systems, write code, deployments, etc.
 </li>
 <li>
 Work with the team lead and stakeholders to estimate and prioritise work
 </li>
 <li>
 Work alongside peers to iterate on solutions that fit requirements
 </li>
 <li>
 Keep the project lead and producer apprised of revised estimates and delivery times
 </li>
 <li>
 Promote high standards and process: tests, CI/CD, documentation
 </li>
 <li>
 Help and support team members in day-to-day work
 </li>
 <li>
 Understand, maintain and expand existing code and develop new features or systems
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 Please don&rsquo;t forget to include your CV, a cover letter, and links to your GitHub, website or portfolio.
 
 
 
 Our Benefits
 
 
 
 
 Flexible working:
 
 Remote-friendly long before it was the norm, with core hours that support both great work and real life.
 
 
 
 Support &amp; wellbeing:
 
 Mental health first-aiders, therapy and coaching via Myndup, plus private medical insurance to help you stay healthy and supported.
 
 
 
 Pension &amp; life cover:
 
 A strong pension plan and life insurance to support your future and protect your family.
 
 
 
 Time for you:
 
 Minimum 25 days&rsquo; holiday, a paid winter break, and 3 volunteering days each year to give back to causes you care about.
 
 
 
 Parental leave:
 
 Family-first policies that support parents and caregivers with flexibility and balance.
 
 
 
 Levelling up:
 
 Annual L&amp;D budget, expert talks, game jams, and mentoring opportunities to help you grow your skills and career.
 
 
 Role Information: EN
 
 
 Studio: The Multiplayer Group
 
 
 Location: Europe, United Kingdom
 
 
 Area of Work: Game Development
 
 
 Service: Create
 
 
 Service Type: Code
 
 
 Employment Type: Permanent Fully Remote
 
 
 Working Pattern: Full Time
 
 
 
 Keywords Studios is dedicated to following a well-established Equal Opportunities Policy. We endeavor to create a workplace which provides for equal opportunities for all employees and potential employees.
 
 
 
 
 
 PERSONAL DATA PROTECTION POLICY
 
 
 
 
 
 Keywords Studios is strongly committed to protecting your personal information. By sending your CV/Resume, you are agreeing to our terms and conditions and consent to your data being managed and retained in accordance with our data privacy and retention policy
 
 https://www.keywordsstudios.com/en/applicant-privacy-notice/.
</div>

Software Engineer - Backend Services - MPG - Fully remote from the UK or

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