Government Digital & Data
Location Darlington, London, Wolverhampton About the job Job summary Here at the Ministry of Housing, Communities & Local Government (MHCLG), we work on things that make a real difference to people's lives. Whether it's through the homes we live in, the work of our local councils, or the communities we're all part of, our work is at the top of the political agenda. We have ambitious and far-reaching outcomes to achieve this year and, if you're thinking of joining us, there's never been a more exciting time. AI technology is rapidly evolving and there is immense opportunity to harness this capability to transform delivery at MHCLG. The new AI directorate at MHCLG is driving forward AI development and adoption across the department and support to partners in local government. We are looking for a passionate and enthusiastic junior AI engineer to join our team and be at the leading edge of AI delivery in a central government department, to deliver high-impact projects at pace to improve outcomes and productivity. You will help to unlock new approaches through the adoption of AI tools and techniques to build the evidence base that drives smarter, more impactful decisions. You will contribute to the discovery, pilot, implementation and scaling of AI projects by the Directorate, developing models for secure, ethical and effective AI tools that deliver high value opportunities and improve outcomes. You will join a multi-disciplinary team of technical experts (including data engineers, data scientists, developers, user research, delivery managers, service owners) with an ambitious and exciting remit to harness the potential of AI, working on high impact projects that deliver operational efficiencies and support policy development through the rapid prototyping and scaling of products and services. You will be forward deployed, working collaboratively across the organisation, interacting with a range of stakeholders to explore, build and maintain foundational AI capability and champion the role of AI in the process. Find out more about our Digital teams and what they are working on through our MHCLG Digital blog . Please note that MHCLG do not offer visa sponsorship and applicants will need a valid visa for the duration of your employment. Job description As an Associate AI Engineer, you'll: Work within agile, multidisciplinary teams to develop, configure and deliver AI / machine learning capability through new products and services, delivering minimum viable products (MVPs) and iterating based on user needs Develop, configure and deliver AI prototypes and scaling to production, supporting testing and system integration as required, helping to ensure expected performance requirements are met Listen, interpret and respond to feedback from customers about the services provided. Involve a diverse range of colleagues, stakeholders and delivery partners to integrate and improve. Establish relationships and collaborate with stakeholders to ensure approaches are appropriate and outputs meet end-user expectations Apply your knowledge of policies relating to AI ethics and responsible use. Research and apply developments in data ethics and privacy to improve compliance and processes. Identify risks and resolve issues efficiently. Promote a culture of following the appropriate procedures to ensure results are achieved on time whilst still enabling innovation Confidently develop, implement, maintain and review AI delivery in line with best practice and standards. Use agreed specifications to design, code, test and document programs or scripts, using the right standards and tools. Work with others to identify areas for improvement and simplify processes. Continuously improve delivery by identifying potential efficiencies and savings in existing processes Champion your role in AI, show positivity and enthusiasm, encouraging others to do the same and have a curiosity for the latest trends in GenAI, agentic AI, LLMOps, and ML more broadly Relevant professional experience working in AI or related field, or a combination of qualifications/certifications and experience that demonstrates technical capability Person specification You'll be someone who is motivated, flexible, enthusiastic and passionate about utilising data and AI responsibly for the public good. As an Associate AI Engineer You'll have: An understanding of building end-to-end LLM applications (prompt engineering, data models, API integration, input/output handling, training, monitoring) Coding expertise: an understanding of core python libraries and clear, modular, reusable code with error handling and logging Cloud and tooling: experience working with Azure; and familiarity with version control (Git/GitHub), command line, and IDEs Software engineering practices: unit testing (e.g. pytest), code reviews, and general good practice in collaborative development Applied AI/ML: awareness and a willingness to learn and apply a range of standard techniques (supervised/unsupervised ML, cross-validation, time-series, NLP basics, SQL) Communication skills: able to explain technical work clearly to both technical and non-technical audiences, manage active and reactive communication, support or host difficult discussions within the team or with diverse senior stakeholders Delivery and collaboration: proactive, self-motivated, organised, and effective at working to deadlines as part of a team
Location Darlington, London, Wolverhampton About the job Job summary Here at the Ministry of Housing, Communities & Local Government (MHCLG), we work on things that make a real difference to people's lives. Whether it's through the homes we live in, the work of our local councils, or the communities we're all part of, our work is at the top of the political agenda. We have ambitious and far-reaching outcomes to achieve this year and, if you're thinking of joining us, there's never been a more exciting time. AI technology is rapidly evolving and there is immense opportunity to harness this capability to transform delivery at MHCLG. The new AI directorate at MHCLG is driving forward AI development and adoption across the department and support to partners in local government. We are looking for a passionate and enthusiastic junior AI engineer to join our team and be at the leading edge of AI delivery in a central government department, to deliver high-impact projects at pace to improve outcomes and productivity. You will help to unlock new approaches through the adoption of AI tools and techniques to build the evidence base that drives smarter, more impactful decisions. You will contribute to the discovery, pilot, implementation and scaling of AI projects by the Directorate, developing models for secure, ethical and effective AI tools that deliver high value opportunities and improve outcomes. You will join a multi-disciplinary team of technical experts (including data engineers, data scientists, developers, user research, delivery managers, service owners) with an ambitious and exciting remit to harness the potential of AI, working on high impact projects that deliver operational efficiencies and support policy development through the rapid prototyping and scaling of products and services. You will be forward deployed, working collaboratively across the organisation, interacting with a range of stakeholders to explore, build and maintain foundational AI capability and champion the role of AI in the process. Find out more about our Digital teams and what they are working on through our MHCLG Digital blog . Please note that MHCLG do not offer visa sponsorship and applicants will need a valid visa for the duration of your employment. Job description As an Associate AI Engineer, you'll: Work within agile, multidisciplinary teams to develop, configure and deliver AI / machine learning capability through new products and services, delivering minimum viable products (MVPs) and iterating based on user needs Develop, configure and deliver AI prototypes and scaling to production, supporting testing and system integration as required, helping to ensure expected performance requirements are met Listen, interpret and respond to feedback from customers about the services provided. Involve a diverse range of colleagues, stakeholders and delivery partners to integrate and improve. Establish relationships and collaborate with stakeholders to ensure approaches are appropriate and outputs meet end-user expectations Apply your knowledge of policies relating to AI ethics and responsible use. Research and apply developments in data ethics and privacy to improve compliance and processes. Identify risks and resolve issues efficiently. Promote a culture of following the appropriate procedures to ensure results are achieved on time whilst still enabling innovation Confidently develop, implement, maintain and review AI delivery in line with best practice and standards. Use agreed specifications to design, code, test and document programs or scripts, using the right standards and tools. Work with others to identify areas for improvement and simplify processes. Continuously improve delivery by identifying potential efficiencies and savings in existing processes Champion your role in AI, show positivity and enthusiasm, encouraging others to do the same and have a curiosity for the latest trends in GenAI, agentic AI, LLMOps, and ML more broadly Relevant professional experience working in AI or related field, or a combination of qualifications/certifications and experience that demonstrates technical capability Person specification You'll be someone who is motivated, flexible, enthusiastic and passionate about utilising data and AI responsibly for the public good. As an Associate AI Engineer You'll have: An understanding of building end-to-end LLM applications (prompt engineering, data models, API integration, input/output handling, training, monitoring) Coding expertise: an understanding of core python libraries and clear, modular, reusable code with error handling and logging Cloud and tooling: experience working with Azure; and familiarity with version control (Git/GitHub), command line, and IDEs Software engineering practices: unit testing (e.g. pytest), code reviews, and general good practice in collaborative development Applied AI/ML: awareness and a willingness to learn and apply a range of standard techniques (supervised/unsupervised ML, cross-validation, time-series, NLP basics, SQL) Communication skills: able to explain technical work clearly to both technical and non-technical audiences, manage active and reactive communication, support or host difficult discussions within the team or with diverse senior stakeholders Delivery and collaboration: proactive, self-motivated, organised, and effective at working to deadlines as part of a team
BBC
Job Introduction BBC R&D has recently established an Automation Applied Research Area focussed on the use of Machine Learning across the BBC. Automation works closely with other BBC R&D Applied Research Areas, BBC Product and Technology Groups and senior business stakeholders across the BBC to accelerate Machine Learning based innovation. Reporting to the Head of Automation, this role will lead a team of experts exploring the ML platforms, tools, performance, and sustainability that will underpin the BBC's approach to Machine Learning innovation. It will ensure that best practice and correct technology choices are downstreamed into R&D ML applications as well as supporting the wider BBC in making the right strategic decisions for its future ML technology. BBC R&D has five applied research areas focussed on Audiences, Automation, Distribution, Infrastructure and Production who are looking to solve some of the most interesting challenges in Media and Broadcasting; as well as our Commercial, Partnerships & Engagement team who ensure we're collaborating with the right external partners and optimising commercial returns through the exploitation of our Intellectual Property and grant funding. Our work supports the BBC's current ambition as well as informing future strategy. If you're excited by the prospect of working in an innovative environment with smart and supportive colleagues, then BBC R&D is the place for you. Role Responsibility This is a hands-on role. Your key responsibilities will be: Build and lead a team of ML engineers to develop an infrastructure to manage ML lifecycle through experimentation, deployment, and testing. Own the Automation MLOps strategy, roadmap, and backlog. Provide leadership and guidance on the delivery of ML models from prototypes to production, mentor and coach team members on ML engineering best practises; work alongside researchers to enable BBC to benefit more rapidly from fundamental ML research. Contribute to the design of ML systems and infrastructure to shape how ML is used across the BBC. Develop relationships with pan-BBC and external contributors and stakeholders. You will need to bring to life long-term ambitions to secure required support and buy-in for tangible and intangible benefits and outcomes. Focus on ensuring our ML technology delivers on performance, cost and sustainability goals and is supportive of the BBC's responsible and ethical ML objectives. Work with our Technology Strategy and Governance team to identify and communicate strategic investment decisions required to mature the BBC's ML technology in line with business needs. Are you the right candidate? Solid understanding of machine learning concepts and algorithms Experience deploying machine learning solutions Expert knowledge of Python programming and machine learning libraries (Scikit-learn, TensorFlow, Keras, PyTorch, MxNet, etc.) Experience implementing ML automation, MLOps (scalable deployment practices aimed to deploy and maintain machine learning models in production reliably and efficiently) and related tools (e.g., MLflow, Kubeflow, Airflow, Sagemaker) Experience working in accordance with DevOps principles, and with industry deployment best practices using CI/CD tools and infrastructure as code (e.g., Docker, Kubernetes, Terraform) Experience in at least one cloud platform (e.g., AWS, GCP, Azure) and associated machine learning services, e.g., Amazon SageMaker, Azure ML, Databricks. Package Description Band: E Contract type: Permanent - Full time Location: UK wide We're happy to discuss flexible working. Please indicate your choice under the flexible working question in the application . There is no obligation to raise this at the application stage but if you wish to do so, you are welcome to. Flexible working will be part of the discussion at offer stage. Excellent career progression - the BBC offers great opportunities for employees to seek new challenges and work in different areas of the organisation. Unrivalled training and development opportunities - our in-house Academy hosts a wide range of internal and external courses and certification. Benefits - We offer a competitive salary package, a flexible 35-hour working week for work-life balance and 26 days (1 of which is a corporation day) with the option to buy an extra 5 days, a defined pension scheme and discounted dental, health care, gym and much more. The situation regarding the coronavirus outbreak is developing quickly and the BBC is keen to continue to ensure the safety and wellbeing of people across the BBC, while continuing to protect our services. To reduce the risk access to BBC buildings is limited to those essential to our broadcast output. From Wednesday 18 th March until further notice all assessments and interviews will be conducted remotely. For more information go to Mae'r sefyllfa gyda'r coronafeirws yn datblygu'n gyflym, ac mae'r BBC yn awyddus i barhau i sicrhau diogelwch a lles pobl ar draws y BBC, gan barhau i warchod ein gwasanaethau hefyd. I leihau'r risg, dim ond y bobl sy'n hanfodol i'n hallbwn darlledu fydd yn cael mynediad i adeiladau'r BBC. O ddydd Mercher 18 fed Mawrth ymlaen, bydd pob asesiad a chyfweliad yn cael ei gynnal o bell, nes rhoddir gwybod yn wahanol. I gael mwy o wybodaeth, ewch i About the BBC We don't focus simply on what we do - we also care how we do it. Our values and the way we behave are important to us. Please make sure you've read about our values and behaviours in the document attached below. Diversity matters at the BBC. We have a working environment where we value and respect every individual's unique contribution, enabling all of our employees to thrive and achieve their full potential. We want to attract the broadest range of talented people to be part of the BBC - whether that's to contribute to our programming or our wide range of non-production roles. The more diverse our workforce, the better able we are to respond to and reflect our audiences in all their diversity. We are committed to equality of opportunity and welcome applications from individuals, regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion and/or belief. We will consider flexible working requests for all roles, unless operational requirements prevent otherwise. To find out more about Diversity and Inclusion at the BBC, please click here
Job Introduction BBC R&D has recently established an Automation Applied Research Area focussed on the use of Machine Learning across the BBC. Automation works closely with other BBC R&D Applied Research Areas, BBC Product and Technology Groups and senior business stakeholders across the BBC to accelerate Machine Learning based innovation. Reporting to the Head of Automation, this role will lead a team of experts exploring the ML platforms, tools, performance, and sustainability that will underpin the BBC's approach to Machine Learning innovation. It will ensure that best practice and correct technology choices are downstreamed into R&D ML applications as well as supporting the wider BBC in making the right strategic decisions for its future ML technology. BBC R&D has five applied research areas focussed on Audiences, Automation, Distribution, Infrastructure and Production who are looking to solve some of the most interesting challenges in Media and Broadcasting; as well as our Commercial, Partnerships & Engagement team who ensure we're collaborating with the right external partners and optimising commercial returns through the exploitation of our Intellectual Property and grant funding. Our work supports the BBC's current ambition as well as informing future strategy. If you're excited by the prospect of working in an innovative environment with smart and supportive colleagues, then BBC R&D is the place for you. Role Responsibility This is a hands-on role. Your key responsibilities will be: Build and lead a team of ML engineers to develop an infrastructure to manage ML lifecycle through experimentation, deployment, and testing. Own the Automation MLOps strategy, roadmap, and backlog. Provide leadership and guidance on the delivery of ML models from prototypes to production, mentor and coach team members on ML engineering best practises; work alongside researchers to enable BBC to benefit more rapidly from fundamental ML research. Contribute to the design of ML systems and infrastructure to shape how ML is used across the BBC. Develop relationships with pan-BBC and external contributors and stakeholders. You will need to bring to life long-term ambitions to secure required support and buy-in for tangible and intangible benefits and outcomes. Focus on ensuring our ML technology delivers on performance, cost and sustainability goals and is supportive of the BBC's responsible and ethical ML objectives. Work with our Technology Strategy and Governance team to identify and communicate strategic investment decisions required to mature the BBC's ML technology in line with business needs. Are you the right candidate? Solid understanding of machine learning concepts and algorithms Experience deploying machine learning solutions Expert knowledge of Python programming and machine learning libraries (Scikit-learn, TensorFlow, Keras, PyTorch, MxNet, etc.) Experience implementing ML automation, MLOps (scalable deployment practices aimed to deploy and maintain machine learning models in production reliably and efficiently) and related tools (e.g., MLflow, Kubeflow, Airflow, Sagemaker) Experience working in accordance with DevOps principles, and with industry deployment best practices using CI/CD tools and infrastructure as code (e.g., Docker, Kubernetes, Terraform) Experience in at least one cloud platform (e.g., AWS, GCP, Azure) and associated machine learning services, e.g., Amazon SageMaker, Azure ML, Databricks. Package Description Band: E Contract type: Permanent - Full time Location: UK wide We're happy to discuss flexible working. Please indicate your choice under the flexible working question in the application . There is no obligation to raise this at the application stage but if you wish to do so, you are welcome to. Flexible working will be part of the discussion at offer stage. Excellent career progression - the BBC offers great opportunities for employees to seek new challenges and work in different areas of the organisation. Unrivalled training and development opportunities - our in-house Academy hosts a wide range of internal and external courses and certification. Benefits - We offer a competitive salary package, a flexible 35-hour working week for work-life balance and 26 days (1 of which is a corporation day) with the option to buy an extra 5 days, a defined pension scheme and discounted dental, health care, gym and much more. The situation regarding the coronavirus outbreak is developing quickly and the BBC is keen to continue to ensure the safety and wellbeing of people across the BBC, while continuing to protect our services. To reduce the risk access to BBC buildings is limited to those essential to our broadcast output. From Wednesday 18 th March until further notice all assessments and interviews will be conducted remotely. For more information go to Mae'r sefyllfa gyda'r coronafeirws yn datblygu'n gyflym, ac mae'r BBC yn awyddus i barhau i sicrhau diogelwch a lles pobl ar draws y BBC, gan barhau i warchod ein gwasanaethau hefyd. I leihau'r risg, dim ond y bobl sy'n hanfodol i'n hallbwn darlledu fydd yn cael mynediad i adeiladau'r BBC. O ddydd Mercher 18 fed Mawrth ymlaen, bydd pob asesiad a chyfweliad yn cael ei gynnal o bell, nes rhoddir gwybod yn wahanol. I gael mwy o wybodaeth, ewch i About the BBC We don't focus simply on what we do - we also care how we do it. Our values and the way we behave are important to us. Please make sure you've read about our values and behaviours in the document attached below. Diversity matters at the BBC. We have a working environment where we value and respect every individual's unique contribution, enabling all of our employees to thrive and achieve their full potential. We want to attract the broadest range of talented people to be part of the BBC - whether that's to contribute to our programming or our wide range of non-production roles. The more diverse our workforce, the better able we are to respond to and reflect our audiences in all their diversity. We are committed to equality of opportunity and welcome applications from individuals, regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion and/or belief. We will consider flexible working requests for all roles, unless operational requirements prevent otherwise. To find out more about Diversity and Inclusion at the BBC, please click here
