Machine learning jobs in United Kingdom

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. About the team: As part of the Forensics & Integrity Services, our Forensic Data Analytics team provides advanced analytics services to support high profile and sensitive client matters such as real time fraud detection / prevention, fraud investigations, financial crime, disputes, and litigations. Our work involves developing data and analytics solutions to regularly ingest and monitor data to detect regulatory and compliance risks such as fraud, bribery and corruption, money laundering, sanctions breaches, know your customer failings (KYC), price fixing, mis-selling of financial products, employee misconduct, trader, and market abuse (surveillance), and much more. This is achieved by combining deep forensic investigation knowledge with advanced data engineering and data science techniques such as investigative data linking, social network analysis, statistics, machine learning and large language models. Your key responsibilities: • Work with financial services clients, fraud strategy, fraud analytics, fraud investigators, internal and external auditors, lawyers and regulatory authorities in sensitive situations, • Communicate with clients to scope projects and gather requirements, • Highlight and explain the outputs of our analytics to clients in the context of their business, • Be responsible for end-to-end delivery of projects across the full lifecycle - Data extraction, transformation, loading (ETL), analysis, visualisation, deployment and client delivery, • Handle a large amount of structured and unstructured data from a variety of data sources, • Carry out reactive and proactive data analysis of large datasets using a wide range of technologies such as Python, SQL and Power BI., • Supervise the work of junior team members and be responsible for quality control of work products from the team, • Develop algorithms and solutions to detect, respond, prevent, continually monitor and investigate areas of fraud, bribery & corruption, misconduct and financial crime, • Apply analytic techniques to prevent, detect, monitor or investigate potentially improper transactions, events or patterns of behaviour related to misconduct, fraud and non-compliance issues, • Develop supporting material using a suite of visualisation software to clearly present the benefits of the analysis to clients, • Align to various strategic teams in the areas of technology, innovation and business development To qualify for the role, you must have: • Strong academic qualifications with a degree in a STEM discipline (Computer Science, Engineering, Statistics, Mathematics, etc.) or equivalent work experience, • Fraud experience, • Demonstrable proficiency in SQL, Python, Azure data factory and/or Databricks, and Visualization techniques and awareness across other programming languages such as R, C#, JavaScript, • Ability to work independently, manage work products and mentor junior team members, • Strong critical thinking, problem-solving skills, understanding of algorithms and appreciation of working with data, • Excellent communication skills and ability to explain complex analytical concepts to stakeholders from different backgrounds Ideally, you’ll also have: • Domain knowledge of Financial Crime, Market Abuse, Mis-selling remediations, accounting, fraud, bribery and corruption or sector specific knowledge or experience, • Organisational ability, people skills and project management potential, • Previous consulting experience and experience with:, • Relational databases, e.g. SQL Server, PostgreSQL, Oracle, MySQL;, • Data visualisation software: Spotfire, Tableau, or Power BI;, • Azure cloud computing platform;, • Big data technologies such as Spark, Elasticsearch, Hadoop;, • Statistical techniques (regression, clustering etc.);, • Machine learning and pattern recognition;, • Front-end web development e.g. HTML, JavaScript; We are looking for tenacious and curious individuals with a desire to ‘get to the bottom’ of things. You will be intellectually rigorous, with extremely strong analytical skills, have a passion for data, be adaptable and show an ability to build strong relationships. What working at EY offers: We offer a competitive remuneration package where you’ll be rewarded for your individual and team performance. Our comprehensive Total Rewards package includes support for flexible working and career development, and with FlexEY you can select benefits that suit your needs, covering holidays, health and well-being, insurance, savings and a wide range of discounts, offers and promotions. Plus, we offer: • Support and coaching from some of the most engaging colleagues around, • Opportunities to develop new skills and progress your career, • The freedom and flexibility to handle your role in a way that’s right for you About EY: As a global leader in assurance, tax, transaction and advisory services, we’re using the finance products, expertise and systems we’ve developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities and creative freedom to make things better. Whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. And with a commitment to hiring and developing the most passionate people, we_ are dedicated to making EY the best employer. If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible. Make your mark. EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Senior Manager – Data Engineering – Databricks Architect Financial Services London/ Edinburgh The opportunity The EY Financial Services AI & Data team is continuing to grow and develop unique advisory propositions aligned to market needs and demand. We are currently looking for an exceptional Senior Manager to lead on developing our Data Engineering Capability with an initial focus on Databricks. This is a senior architecture role and will require an individual with an exceptional track record of delivering data transformation programs in the Financial Services sector. The AI & Data practice works collaboratively with our clients to enhance their ability to solve complex business problems by exploiting data and analytics strategies and solutions. We provide expertise and delivery in three core areas which all work closely together: • Data Architecture & Engineering – Focusing on next generation data solution architecture design and implementation, • Data Management & Strategy – Supporting our clients with Data Strategy, Data Governance Data and Analytics Target Operating Model Design and wider Data Office and CDO support functions, • Data Science and Information Analysis - Working with our clients to design build and integrate Machine Learning and AI solutions into their core business platforms and processes to drive greater insight and increased process efficiency and automation. We also help them design and implement modern data visualisation and reporting solutions Your key responsibilities • Lead the design and implementation of scalable data architecture solutions using Databricks on Azure., • Architect and optimize data pipelines for structured and unstructured financial data, ensuring performance, reliability, and compliance., • Demonstrate prior experience in standing up and operationalizing Databricks platforms, including workspace setup, cluster configuration, and CI/CD integration., • Lead and execute large-scale lift-and-shift data migrations from legacy platforms to Databricks, ensuring minimal disruption and high data fidelity., • Collaborate with cross-functional teams to align data architecture with financial regulations (e.g., GDPR, Basel III, MiFID II)., • Drive adoption of Delta Lake, Apache Spark, and MLflow for advanced analytics and machine learning use cases., • Provide technical leadership and mentoring to data engineers and analysts across financial domains such as risk, trading, and compliance., • Establish best practices for data governance, lineage, and metadata management within the Databricks environment., • Translate business needs into robust data products that support real-time decision-making and predictive modeling., • Lead performance tuning, cost optimization, and security hardening of Databricks on Azure. To qualify for the role, you must have • A track record of delivering large Databricks data transformations & appropriate Databricks industry certifications, • A deep understanding of Financial Services to develop the right AI, Data and Analytics solutions to meet their needs, • Experience of building high performing teams and exceptional leadership and interpersonal skills, • Deep understanding of the emerging technology trends including adoption of cloud-based technologies and advance data technologies with a clear perspective on where the market is going., • Ability to successfully deliver across multiple engagements, exceed client expectations, manage commercial aspects and manage quality and risk, • Ability to engage with senior stakeholders and manage large cross functional projects, • Intellectual strength / flexibility to rapidly understand complex problems and rationalise these into workable solutions which can then be delivered, • Exceptional storytelling, communication, presentation, business writing and professional skills, including being able to liaise with both technical and business contacts at our clients., • Previous consulting experience will be greatly valued, • A university degree, 2:1 (or equivalent) or above is usually preferred, however we would be open to outstanding candidates who may have followed an alternative academic path. What we look for We are looking for highly motivated individuals who are passionate about AI, Data and Analytics and want to assist clients to become truly data driven organisations. If you think you can meet the challenges of a focused consulting organisation, understand how to grow and lead in a large practice and work in the most complex of sectors our AI & Data team is looking forward to hearing from you. What working at EY offers We offer a competitive remuneration package where you’ll be rewarded for your individual and team performance. Our comprehensive Total Rewards package includes support for flexible working and career development, and with FlexEY you can select benefits that suit your needs, covering holidays, health and well-being, insurance, savings and a wide range of discounts, offers and promotions. Plus, we offer: • Support, coaching and feedback from some of the most engaging colleagues around, • Opportunities to develop new skills and progress your career, • The freedom and flexibility to handle your role in a way that’s right for you About EY As a global leader in assurance, tax, transaction and advisory services, we’re using the finance products, expertise and systems we’ve developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities and creative freedom to make things better. Whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. And with a commitment to hiring and developing the most passionate people, we’ll make our ambition to be the best employer by 2020 a reality. If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible. Join us in building a better working world. Apply now. Who we are EY is committed to being an inclusive employer and we are happy to consider flexible working arrangements. We strive to achieve the right balance for our people, enabling us to deliver excellent client service whilst allowing you to build your career without sacrificing your personal priorities. While our client-facing professionals can be required to travel regularly, and at times be based at client sites, our flexible working arrangements can help you to achieve a lifestyle balance Please note: Prior to finalizing your application, you will be asked to provide personal information across several dimensions of diversity and inclusiveness. The information you provide is kept entirely confidential and will not be used to evaluate your candidacy. We collect this data to help us analyse our recruitment process holistically and implement actions that promote diversity and inclusiveness. While optional, we encourage you to provide this information to hold us accountable towards our goal of building a better working world. We ask because it matters! EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. The opportunity: In Assurance at EY, we empower you to thrive in a dynamic and inclusive environment. As a key player in our assurance practice, you'll engage with diverse clients, providing critical insights that drive their success. We offer a wealth of career opportunities, from hands-on experience with cutting-edge technologies to tailored professional development programs. Our culture fosters collaboration, innovation, and a commitment to excellence, ensuring that every team member feels valued and inspired to reach their full potential. Discover your future with us and be part of a team that makes a difference! As an eDiscovery Senior in our Forensic Technology & Discovery Services team, you will work on a variety of client engagements with colleagues across the team collecting, processing, analysing, and producing large volumes of data from multiple sources. Alongside colleagues, you will use industry standard forensic tools along with innovative internally developed software and analytics packages. Overview of our practice: Within our global Forensics practice, we have a Forensic Technology & Discovery Services team (FTDS) that is a data-focused unit helping support our clients when dealing with the complex issues of fraud, regulatory compliance, and business disputes. Our FTDS team has a speciality eDiscovery team that operates across the full data investigation lifecycle (identification, preservation, collection, processing, analysis, review, production, reporting, and data disposition). Our engagements typically require working with international teams on large, and often disparate, volumes of electronically stored structured and unstructured data, and the application of advanced analytics techniques. We work with clients across a range of sectors, and specialising in financial services (retail banking, corporate banking, investment banking and insurance), supporting investigations, disputes, and proactive risk detection. We often work in multi-party teams collaborating with our clients, their legal counsel, and other specialists, using our expertise, experience, and advanced technology to deliver data insights in time-pressured situations. We lead on traditional eDiscovery use cases, and our team also works on adjacent use cases, such as digital forensics, cyber incident response, information governance, and data privacy matters amongst other related matters. Your key responsibilities: • Take a central role in the provision of end-to-end support and services on eDiscovery engagements, performing tasks across the whole project lifecycle including identification, preservation, analysis, and productions., • Use a range of industry standard software and services to support client requirements. such as EnCase, FTK, Nuix, Relativity, Reveal, Cellebrite, Magnet Axiom, Magnet Verakey and SQL., • Provide direct engagement support to clients, including but not limited to user access, workstream setup, analytics, and custom object creation within various platforms., • Work closely with project management to ensure critical deadlines are met and engagement quality is at a high standard., • Use problem-solving approaches to overcome unexpected issues, both technical and operational., • Seek new ways to use existing and emerging technologies to solve client problems, e.g., our teams advise, build, and use artificial intelligence (AI) and machine learning (ML) to assist our clients, and we are now using generative AI (GenAI) as well to reshape the data investigation process., • Build and maintain relationships with clients to develop and enhance their workflows creating synergy between teams., • Support the training and development of junior staff on eDiscovery engagements, including overseeing their work on across all areas of the project lifecycle., • Contribute to the ongoing development of internal procedures and methodologies including the automation of processes. Skills and attributes for success: You will build your career by demonstrating a flexible working style, initiative, teaming, and the ability to learn quickly in a dynamic, and at times, highly reactive environment, focusing on the production of high-quality outputs and supporting the delivery on client requirements to often tight deadlines. To qualify for the role you must have: • Professional experience in eDiscovery, digital forensics, cyber incident response, information governance, and/or data privacy, or an educational background in a related field (e.g., computer science, computer forensics, software engineering, project management, law, etc.)., • Proven experience with industry-standard forensic applications and tools such as EnCase, FTK, Nuix, Relativity, Reveal, Cellebrite, Magnet Axiom and Magnet Verakey., • Experience with databases, particularly SQL programming and design of relational databases., • Exposure to programming, e.g., industry experience or a significant implementation project at university., • Strong independent analytical and problem-solving skills as well as strong teamwork skills., • High risk awareness and ability to identify and reduce risk in a fast-paced environment., • Ability to communicate technical concepts to nontechnical persons., • Ability to produce high-quality deliverables., • Excellent verbal and written communication skills in English, and any additional language is considered a plus., • Adaptable and able to build strong relationships with colleagues and clients. Ideally, you’ll also have: • Data processing experience in Nuix, Relativity, and Reveal or equivalent industry standard tools., • Experience in using Reveal and/or Relativity, either as user or administrator., • Exposure to technology infrastructure including server and cloud-based solutions, particularly Microsoft 365 and Microsoft Purview., • Exposure to digital forensic tools and analytic techniques., • Experience working with modern data types such a chat, collaboration, audio, and video., • Experience working with technology to enable and enhance investigation processes., • Exposure to archiving, logging, and digital vault systems, e.g., Mimecast., • Data visualisation experience, for example PowerBI., • Scripting language experience, particularly SQL and Python., • Exposure to Object Oriented programming, particularly C#, C++ or Java. What we offer you At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn _. Are you ready to shape your future with confidence? Apply today. To help create the best experience during the recruitment process, please describe any disability-related adjustments or accommodations you may need. EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

Senior Legal Counsel – Data Protection & Privacy This is a senior legal role within Sky’s Group Data Privacy function, supporting the delivery of Sky’s data protection strategy and governance framework. Reporting to the Head Counsel – Data Protection & Privacy, you will play a key role in advising on complex UK and EU data protection matters, translating legal requirements into practical, operational guidance and supporting the implementation of scalable governance across the business. You will work across a broad range of data, digital and AI-related issues, partnering closely with Legal, Data Protection Operations, Cyber, Technology, Sky Data and Commercial teams to ensure that Sky’s data use is compliant, responsible and enables innovation and growth. The role also supports cross-market alignment across the UK, Ireland and Italy, helping to embed consistent legal standards while recognising local regulatory requirements. What You’ll Do Legal Advice & Support • Provide high-quality, pragmatic legal advice on UK GDPR, EU GDPR, ePrivacy, AI-related privacy issues and related data protection laws in connection with Sky’s use of customer, workforce and contributor data., • Lead or support the Head Counsel on complex, high-risk and strategic matters, including product launches, commercial initiatives and regulatory issues., • Advise on complex AI, data, cyber and emerging digital regulatory issues, translating legal requirements into practical business guidance., • Provide practical, risk-based advice to business stakeholders on BAU data protection issues., • Support the development of clear, defensible legal positions and documentation. Legal Governance & Framework Implementation • Support the implementation of the Group’s data protection legal framework across business areas., • Advise on DPIAs, LIAs, data sharing, international transfers, retention and high-risk processing activities., • Help ensure consistency and quality in legal advice and decision-making across teams., • Identify recurring risk themes and support remediation and process improvement. Partnership with Data Protection Operations • Work closely with the DPO and DP Operations teams and related business operational teams to align legal requirements with operational processes., • Support the embedding of scalable policies, controls and governance mechanisms., • Advise on data incident and breach response where required., • Help define and apply legal guardrails and escalation thresholds in practice., • Contribute to a “one privacy function” approach across legal and operational teams. Consent, Marketing & Digital • Advise on consent frameworks, customer preferences and marketing practices., • Support legal oversight of digital products, advertising technology and data-driven use cases., • Ensure compliance with legal and regulatory expectations on transparency, fairness and customer rights. Cross-Market Collaboration • Work with local market legal and DP teams in Ireland and Italy to support consistent application of standards., • Provide input on cross-border data protection issues and regulatory developments., • Help promote best practice and knowledge sharing across markets. Regulatory & Risk Support • Support engagement with regulators (e.g. ICO, DPC) including responses to queries and investigations., • Assist with regulatory submissions and documentation., • Ensure robust record-keeping and defensible decision-making. Team Contribution & Development • Contribute to a collaborative, high-performing and inclusive team culture aligned with Sky’s Values., • Provide coaching and support to junior team members where appropriate., • Build strong relationships with stakeholders across Legal and the wider business., • Support delivery of the Data Privacy team’s objectives and broader Legal priorities. What You’ll Bring Essential: • UK or equivalent qualified lawyer with significant post-qualification experience advising on complex UK and EU data protection matters in-house and/or in private practice., • Demonstrable experience influencing senior stakeholders and shaping strategic decisions on high-profile, business-critical privacy, data and AI initiatives., • Deep expertise in UK GDPR, EU GDPR, ePrivacy and related regulatory frameworks, with the ability to apply legal principles creatively and pragmatically to complex business, technology and AI use cases., • Experience advising on privacy issues relating to content services, advertising technology (AdTech), audience measurement, marketing technologies, digital products and data-driven customer experiences., • Experience providing practical, risk-based legal advice to business stakeholders., • Strong analytical skills and ability to translate complex legal requirements into clear guidance., • Ability to work collaboratively across functions in a fast-paced environment., • Commercial awareness and interest in data-driven business models., • A positive, collaborative approach and enjoyment of working with stakeholders across the business. Desirable: • Experience in media, telecommunications, technology or digital sectors., • Experience advising within a media, telecommunications or technology organisation operating across a broad range of services and products., • Experience working in a large, matrixed organisation., • Familiarity with cross-border data protection issues., • Experience advising on AI, machine learning, advanced analytics or other complex data-driven use cases., • Familiarity with emerging cyber and digital regulation., • Experience advising on data protection issues in the content space (e.g. news, production, sports), • Experience supporting governance frameworks or transformation programmes. Benefits and perks There's one thing people can't stop talking about when it comes to life at Sky: the perks. Here’s a taster: • Free Sky TV, including Sky Sports and Sky Cinema, • Pension package with up to 9% employer contribution, • Private healthcare with mental health support, • Aviva Digital GP and dental insurance, • Discounts on Sky products, including Sky Mobile, Sky Broadband, Sky Glass and Sky Protect, • Sharesave and Tech schemes, • A range of Sky VIP rewards and experiences How you’ll work At Sky, we want to be a community that thrives by being together. Flexible working remains a key part of that. We want our people to have the best of both worlds: time working at home, as well as time in the office. The hybrid working expectations for this role are 3 days in the office per week. Your office base Osterley Our Sky Group HQ. Equipped with state-of-the-art technology and workspaces, there’s plenty of space to see your big ideas come to life. Here you’ll find 13 subsidised restaurants and cafes. You can re-energise at our gym, catch the latest films at our cinema, get your car washed and even get pampered at our beauty salon.Our Osterley Campus is just a 10-minute walk from Syon Lane train station, or you can get one of our free shuttle buses from Osterley, Gunnersbury and Ealing Broadway stations. Plus, there’s free onsite parking available for cars, motorbikes and bicycles. Who we are We’re Sky, a leading media and entertainment company who connect millions with entertainment, sports, news and arts through innovative products and services. Working with us means you’ll be bringing the joy of a better experience to more people, every day. All so we can do better and deliver better for our customers, colleagues and society. We’re an equal opportunity employer and value diversity at our company. We're a Disability Confident Accredited Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need as early as you can. Just so you know: if your application is successful, we’ll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer. To be eligible for this role you are required to have the appropriate right to work in the UK. Please be aware Sky does not offer sponsorship for this position. To find out more about working with us, search #LifeAtSky on social media. Please note: We reserve the right to close this advertisement at any time once we have received a sufficient number of applications

Join Our Team as a Senior Tax Analyst (Technology)\n Location: Frimley, Surrey or Preston, Lancashire. We offer a variety of hybrid and flexible working arrangements—talk to your recruiter about the options available for this role. \n Salary: Circa £60,000 + bonus scheme Who We Are\n At BAE Systems, you’ll be part of something bigger. Join our global network of colleagues and bring your unique skills to help pioneer progress and protect what matters most. You’ll play a vital role in delivering advanced, technology-led defence, aerospace, and security solutions, shaping a safer future for everyone. \n From the depths of the ocean to the far reaches of space, your career at BAE Systems could take you anywhere! About the Role\n This is an exciting opportunity for a Senior Tax Analyst with a passion for technology to make a significant impact within our Group Tax team. You will support various tax operational activities, leveraging automation and innovative tools to enhance efficiency and ensure compliance, primarily focusing on corporate taxes, with opportunities to engage in VAT and employment taxes. \n Collaborating closely with internal Finance and Shared Services teams, as well as external providers, you will deliver high-quality, fully analyzed tax data while contributing to continuous improvement initiatives and broader tax projects in a collaborative and forward-thinking environment. Your Core Responsibilities\n \n • Drive continuous improvement across tax operations, focusing on automation and technology adoption.\n, • Support day-to-day tax operational activities, primarily in corporate taxes, with opportunities in VAT and employment taxes.\n, • Utilize technology, including robotic process automation and machine learning, to ensure compliance and enhance efficiency.\n, • Partner with shared services and finance teams to monitor and meet compliance filing deadlines.\n, • Assist in wider tax compliance and advisory activities, including UK and international Corporate Tax, RDEC, capital allowances, and more.\n, • Ensure compliance with tax governance requirements.\n, • Actively manage your Continuous Professional Development (CPD) to maintain a breadth of technical and power skills.\n, • Engage in ad hoc advisory and Group Tax projects.\n What We’re Looking For\n \n, • ATT qualified (or equivalent) as a minimum; CTA qualification is desirable.\n, • Experience in an in-house tax team or a professional tax services firm; Big 4 experience is advantageous.\n, • Proven experience using tax technology and data tools to improve processes and efficiency, with familiarity in tools like Alteryx, Power BI, or Tableau preferred.\n About the Tax Team\n You’ll be joining a collaborative and innovative Group Tax team that plays a crucial role within the wider Finance function. The team works closely with Finance Operations, Shared Services, and external providers to deliver high-quality tax compliance and reporting while driving continuous improvement across processes and technology. With a focus on innovation and development, you’ll gain exposure to a broad range of tax areas and opportunities to engage in projects that support operational excellence and strategic tax initiatives. Why Choose BAE Systems?\n Here, you’ll build a career with purpose and limitless possibilities. With lifelong learning and meaningful work, this is a place where you can grow your career with confidence and be empowered to be your best. You’ll be recognized for your contributions and enjoy rewards tailored to what matters most to you and your family, including support for your financial and personal wellbeing, and a balanced lifestyle. \n In an environment that embraces sustainable ways of working and a strong sense of shared purpose, our supportive culture is a place where you can feel you belong and be proud of the difference you make. A Place Where Everyone Can Thrive\n We’re committed to building an inclusive workplace where everyone feels valued and supported. We believe that a diversity of backgrounds, perspectives, and experiences strengthens our teams and is vital to the work we do. \n Important Note: Many roles at BAE Systems are subject to security and export control restrictions. These restrictions mean that factors such as your nationality, any nationalities you may have previously held, and your place of birth can affect your eligibility for certain roles. All applicants must achieve at least the Baseline Personnel Security Standard, with many roles requiring higher levels of National Security Vetting. \n Closing Date: 18th September 2026 \n We reserve the right to close this vacancy early if we receive sufficient applications. If you’re interested, please submit your application as early as possible. \n #LI-SS1 \n #LI-Hybrid \n

Job Title: Senior Tax Analyst (Technology) Location: Frimley; Surrey or Preston; Lancashire. We offer a range of hybrid and flexible working arrangements – please speak to your recruiter about the options for this particular role. Salary: Circa £60,000 + bonus scheme Who we are: Join BAE Systems and you’ll be part of something bigger. As a valued member of our global colleague network, you’ll bring your unique skills and perspectives to help pioneer progress and protect what matters most. You’ll be trusted to play your part in delivering the advanced, technology-led defence, aerospace and security solutions of tomorrow, shaping a safer future, for all of us. From the depths of the ocean, to the far reaches of space, there’s no limit to where a career at BAE Systems could take you. Job Description: This is a great opportunity for a Senior Tax Analyst with a keen interest in technology to play a key role within Group Tax. You will support a range of tax operational activities, using automation and innovative tools to enhance efficiency and ensure compliance across taxes, primarily focussing on corporate taxes, but with opportunities to be involved in other areas such as VAT and employment taxes. Working closely with internal Finance and Shared Services teams, as well as external providers, you will help deliver high-quality, fully analysed tax data, while contributing to continuous improvement initiatives and broader tax projects within a collaborative and forward-thinking environment. Core duties: • Drive continuous improvement across tax operations, with a focus on automation and technology adoption, • Support day-to-day tax operational activities across a range of taxes, primarily focussing on corporate taxes, but with opportunities to be involved in other areas such as , VAT and employment taxes, • Use technology, including robotic process automation, machine learning and dashboard tools, to ensure compliance, enhance efficiency and improve processes, • Partner with our shared services and finance teams, and outsourced filing provider to ensure compliance filing deadlines are monitored and met., • Support wider tax compliance and advisory activities, including UK and international Corporate Tax, RDEC, capital allowances, Pillar Two, transfer pricing, employment tax and VAT, • Operate within and ensure compliance with tax governance requirements, • Actively manage CPD, ensuring a good breadth of technical and power skills, • Ad hoc advisory and Group Tax projects Essential Skills: • ATT qualified (or equivalent) as a minimum; CTA qualification desirable, • Experience working within an in-house tax team or a professional tax services firm, with Big 4experience advantageous, • Proven experience using tax technology and data tools to improve processes and efficiency, tools such as Alteryx, Power BI or Tableau are preferred The Tax Team: You’ll be joining a collaborative and forward-thinking Group Tax team that plays a key role within the wider Finance function. The team works closely with Finance Operations, Shared Services and external providers to deliver high-quality tax compliance and reporting, while also driving continuous improvement across processes and technology. With a focus on innovation and development, the team offers exposure to a broad range of tax areas and opportunities to get involved in projects that support both operational excellence and strategic tax initiatives. Why BAE Systems? Here you’ll build a career with purpose and limitless possibilities. With lifelong learning and meaningful work, this is a place where you can grow your career with confidence and be empowered to be your best. You’ll be recognised for your contribution and enjoy rewards tailored to what’s most important to you and your family, support for your financial and personal wellbeing, as well as a balanced lifestyle. In an environment embracing sustainable ways of working and with a strong sense of shared purpose, our supportive culture is a place you can feel you belong and proud of the difference you make. A place where everyone can thrive: We’re committed to building an inclusive workplace where everyone feels valued and supported. We know that a diversity of backgrounds, perspectives and experiences strengthens our teams and is vital to the work we do. Please be aware that many roles at BAE Systems are subject to both security and export control restrictions. These restrictions mean that factors such as your nationality, any nationalities you may have previously held, and your place of birth can restrict the roles you are eligible to perform within the organisation. All applicants must as a minimum achieve Baseline Personnel Security Standard. Many roles also require higher levels of National Security Vetting where applicants must typically have 5 to 10 years of continuous residency in the UK depending on the vetting level required for the role, to allow for meaningful security vetting checks. Closing Date: 19th October 2026 We reserve the right to close this vacancy early if we receive sufficient applications for the role. Therefore, if you are interested, please submit your application as early as possible. #LI-SS1 #LI-Hybrid

Senior Machine Learning Engineer. As a Senior Machine Learning Engineer, you’ll take ownership of designing, building, and deploying advanced LLM-based and agentic systems that extract and reason over medical records and application data. Prompt & Context Engineering:.

Position: Senior Machine Learning Engineer Department: Growth & Customer Experience Engineering Reporting to: Technology Manager Location: Bristol/London Hybrid Role: 3 days a week from office & 2 days working from home Full Time / Part Time Role: Full time Ready for a Challenge?\n Welcome to Just Eat Takeaway.com, a leading global online food delivery platform where we empower everyday convenience! Whether it’s a Friday-night feast, a post-gym poke bowl, or grabbing some groceries, our tech platform connects tens of millions of customers with hundreds of thousands of restaurant, grocery, and convenience partners worldwide. About This Role\n We’re on the lookout for a Senior Machine Learning Engineer to join our dynamic cross-functional team. Your mission? To enhance our product algorithmic recommendations and drive innovation within Just Eat Takeaway.com. \n In this role, you’ll: \n\n • Lead the evolution of existing machine learning and AI capabilities across our platform.\n, • Write highly scalable and testable code while mentoring fellow engineers.\n, • Collaborate with a variety of teams, both internal and external, as we embrace inner-sourced development.\n\n At Just Eat Takeaway.com, ownership is key. You’ll take responsibility for your work from discovery to production, ensuring the ongoing reliability and stability of our systems. This is your chance to lead, deliver, and care for cutting-edge ML systems that impact millions of customers daily! Your Key Responsibilities\n\n • Collaborate with Data Scientists, Product Managers, and Backend Engineers to bridge the gap between model development and production systems.\n, • Lead the architectural design of end-to-end ML systems, from data ingestion and training pipelines to real-time inference and monitoring infrastructure.\n, • Transform innovative data science prototypes into robust, scalable, and secure production software.\n, • Drive the adoption of MLOps best practices to accelerate the feedback loop for Data Scientists.\n, • Communicate the complexities of ML systems to both technical and non-technical stakeholders.\n, • Build and maintain a strong network across Data and Engineering organizations.\n, • Lead projects, mentor peers, and advocate for engineering excellence within the data science domain.\nWhat Will You Bring to the Team?\n\n, • Proficiency in Python and a solid understanding of software engineering principles applied to Machine Learning.\n, • Experience designing and operating ML systems in production, including familiarity with serving patterns.\n, • Knowledge of orchestration tools and cloud-native ML platforms.\n, • Ability to influence decision-making regarding infrastructure and tooling.\n, • Strong knowledge of Infrastructure as Code and containerization.\n, • Familiarity with data engineering fundamentals to debug and optimize data flows.\n, • A proactive mindset to automate manual processes and improve the developer experience for Data Scientists.\nAt JET, This Is How We Play\n Our teams forge connections internally and collaborate with some of the best-known brands globally, giving us a truly international impact in a dynamic environment. Fun, fast-paced, and supportive, the JET culture is all about movement, growth, and celebrating every aspect of our JETers. Thanks to them, we stay one step ahead of the competition! Inclusion, Diversity & Belonging\n No matter who you are, what you look like, who you love, or where you come from, you can find your place at Just Eat Takeaway.com. We’re committed to fostering an inclusive culture that encourages diversity of thought and experience, ensuring all employees feel they truly belong and can bring their most colorful selves to work every day. What Else Are We Delivering?\n Curious to learn more about our JETers, culture, or company? Explore our career site for stories, blogs, podcasts, and more insights into life at JET. \n Are You Ready to Join the Team? Apply Now! \n #KF-LI1

If you are a current Jazz employee please apply via the Internal Career site. \n Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases — often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit www.jazzpharmaceuticals.com for more information. \n Brief Description: \n The Associate Director, Central Monitoring leads Jazz's central monitoring capability within Global Clinical Development Operations, reporting into the Senior Director, Trial Risk Management & Monitoring. This role is accountable for defining, generating, and interpreting centralized data outputs – including Jazz portfolio level key risk indicators (KRIs) and statistical/data-driven signals – and for translating those insights into concrete, risk-proportionate changes in monitoring strategy at the site, study, and CRA level. The Associate Director partners closely with Trial Risk Management, Site Monitoring, Data Management, and study teams to ensure that centralized monitoring is a driving force behind how, where, and how often monitoring resources are deployed across Jazz's sponsored trial portfolio. \n Essential Functions/Responsibilities \n\n • Lead and manage the Central Monitoring function, including oversight of central monitoring staff, to deliver centralized, data-driven oversight across Jazz's sponsored clinical trials.\n, • Define, build, and maintain key risk indicators (KRIs) and centralized statistical monitoring analytics/dashboards at the study, site, and CRA level, in partnership with Biostatistics, Data Management and Business & Technology teams.\n, • Continuously analyze centralized data trends and risk signals including but not limited to emerging site, study, and CRA-level performance issues, and determine when those signals warrant a change in monitoring strategy (e.g., increased or decreased visit frequency, targeted source data verification, for-cause visits, or CRA reassignment/coaching).\n, • Own the process for triggering and documenting risk-based changes to monitoring plans, working directly with Trial Risk Management and Site Monitoring leadership to operationalize those changes in the field.\n, • Support the development of Risk Based Monitoring Strategy Documents and study monitoring plans in alignment with the central monitoring strategy, overall RBQM strategy and ICH E6(R2/R3) guidance.\n, • Serve as the functional lead for central monitoring technology platforms (e.g., centralized analytics, statistical monitoring, and RBQM systems), partnering with IT, Business & Technology, and/or vendors on configuration, evaluation, and enhancement.\n, • Present central monitoring outputs, risk trends, and recommended actions to study teams, cross-functional governance forums, and senior leadership on a routine basis.\n, • Ensure central monitoring documentation, KRI rationale, and escalation history are inspection-ready; serve as subject matter expert during internal audits and regulatory inspections.\n, • Partner with Site Monitoring leadership to ensure central monitoring findings are effectively communicated to and actioned by field-based CRAs and Lead CRAs.\n, • Provide leadership, coaching, and development for central monitoring team members, building technical capability in statistical monitoring methodology and analytics tools.\n, • Champion continuous improvement of central monitoring methodology, including exploration of automation, machine learning, and AI-enabled approaches to risk detection.\n, • Represent the Central Monitoring function in cross-functional process and technology improvement initiatives, and in governance discussions with external partners and CROs.\n, • Support RBQM strategy, standards, and training in partnership with the Senior Director, Trial Risk Management & Monitoring.\n\n Required Knowledge, Skills, and Abilities \n\n • Typically, 8-10+ years of clinical research/clinical operations experience in the pharmaceutical or biotechnology industry, including significant, hands-on experience in central/statistical monitoring or risk-based quality management (RBQM).\n, • Demonstrated expertise defining, operationalizing, and interpreting KRIs, and translating centralized data signals into concrete site-, study-, and CRA-level monitoring decisions.\n, • Strong working knowledge of ICH E6(R2/R3), risk-based quality management principles, and applicable global regulatory requirements.\n, • Hands-on experience with central monitoring/statistical analytics platforms, CTMS, and EDC systems; comfort working with large, multi-source clinical trial datasets.\n, • Strong data analytics and interpretive skills, with the ability to distill complex data trends into clear, actionable recommendations for non-technical stakeholders.\n, • People leadership experience, including managing and developing a team of central monitoring analysts/associates.\n, • Excellent written, verbal, and presentation skills, with demonstrated ability to influence and align cross-functional and senior stakeholders.\n, • Strong business acumen and the ability to balance operational excellence, quality, and resource considerations in monitoring strategy decisions.\n, • Proven experience partnering with Site Monitoring/CRA teams, Biostatistics, and Data Management in a matrixed environment.\n, • Enthusiasm for innovation, including application of AI and advanced analytics to clinical trial oversight.\n\n · Business travel, including international <10%. \n Required/Preferred Education and Licenses \n\n • Bachelor's degree in a life science, nursing, or related discipline required; advanced degree (e.g., MS, MPH) preferred.\n\n Pharmaceutical or biotechnology industry experience required; prior people management experience required. \n LI-DM1 \n #LI-Remote \n Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. \n FOR US BASED CANDIDATES ONLY \n Jazz Pharmaceuticals, Inc. is committed to fair and equitable compensation practices and we strive to provide employees with total compensation packages that are market competitive. For this role, the full and complete base pay range is: $164,800.00 - $247,200.00 \n Individual compensation paid within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, and other pertinent factors. The goal is to ensure fair and competitive compensation aligned with the candidate's expertise and contributions, within the established pay framework and our Total Compensation philosophy. Internal equity considerations will also influence individual base pay decisions. This range will be reviewed on a regular basis. \n At Jazz, your base pay is only one part of your total compensation package. The successful candidate may also be eligible for a discretionary annual cash bonus or incentive compensation (depending on the role), in accordance with the terms of the Company's Global Cash Bonus Plan or Incentive Compensation Plan, as well as discretionary equity grants in accordance with Jazz's Long Term Equity Incentive Plan. \n The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, 401k retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: .

Able to work effectively with data scientists and data engineers, and to communicate clearly with technical and non-technical colleagues and stakeholders. Machine Learning Engineer - London. Working alongside other ML Engineers, you will take ownership of defined workstreams (for example, a regional

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

Principal, Credit Risk Analytics \n London | 90-120k \n An excellent opportunity for a senior Credit Risk Analytics professional to take ownership of complex consulting engagements across the UK lending market. You will combine technical credit risk expertise with project leadership, client management, and commercial responsibility. \n \n The Company \n They are a specialist consultancy working with a vast number of businesses on complex analytical and strategic challenges. Their team combines advanced credit risk analytics with commercial advisory expertise. This role offers significant scope to influence both client outcomes and the development of the consulting practice. \n \n The Role \n You will: \n\n • Lead multiple credit risk and analytics engagements across consumer and SME lending.\n, • Own projects from scoping and methodology through to final client delivery.\n, • Lead analytical teams while remaining close to the technical work.\n, • Gain exposure across a number of projects, including scorecard modelling, forecasting, portfolio analytics, and credit strategy.\n, • Build and manage senior client relationships.\n, • Translate complex analysis into clear commercial recommendations.\n, • Mentor team members and strengthen technical and delivery capability.\n\n \n Your Skills & Experience \n\n • Strong UK consumer or SME credit risk analytics experience.\n, • Extensive knowledge of lending portfolio and customer behaviour analysis.\n, • Expertise across relevant areas such as scorecards, machine learning, forecasting, strategy development, provisioning, or capital modelling.\n, • Experience leading analytical teams and delivering complex projects.\n, • Advanced Python, SAS, or SQL capability, with Python highly desirable.\n, • Excellent client communication and stakeholder management skills.\n, • Consultancy experience would be advantageous.\n, • A 2:1 or above in a numerate degree.\n\n \n What They Offer \n\n • Competitive salary dependent on experience.\n, • Senior ownership of high-impact analytical projects.\n, • Exposure to complex credit risk challenges across the lending market.\n, • The opportunity to develop client relationships and influence business growth.\n, • Clear scope for continued leadership and professional development.\n, • Additional benefits discussed during the process.\n\n \n How to Apply \n Apply now by clicking the link.

As a Data Scientist within the Analytics Team, you will contribute to data-driven strategies for our clients. Working closely with the Data & Analytics Manager and senior colleagues, you will deliver data science projects and collaborate with stakeholders across data strategy, sales, account management, delivery and marketing. \n You will bring solid technical skills and commercial awareness to deliver data solutions that drive measurable operational performance. This is a hands-on role - ideal for someone who thrives on translating data into actionable insight and producing high-quality outcomes. \n Responsibilities \n\n • Deliver data science projects, from problem definition through to actionable insights and presentation of results\n, • Develop and apply predictive modelling, supervised and unsupervised machine learning techniques to optimise client operations and business outcomes\n, • Build and maintain data pipelines, ensuring data quality, consistency, and integrity across multiple sources and formats\n, • Translate complex analyses into clear, commercially relevant recommendations for clients and internal stakeholders\n, • Work with client teams to identify analytical opportunities, support marketing strategy, and quantify the impact of data-driven decision-making\n, • Support pre-sales and client engagement, helping to demonstrate the value of data insight\n, • Follow best practices in data science, reproducible research, and ethical AI\n, • Collaborate cross-functionally to enhance the company’s products and marketing data solutions\n\n What Success Looks Like in the Role \n\n • Delivery of impactful, high-quality analytics that directly inform and improve client marketing outcomes\n, • Building trust and credibility with clients as an analytical consultant\n, • Regular iteration on our machine learning methodologies, tools, and frameworks\n, • Consistent demonstration of technical excellence and commercial insight in all project deliverables\n, • Measurable contribution to the enhancement of Sagacity’s data science and analytics product suite\n\n Competencies and Experience \n\n • 2+ years’ experience in data science, analytics, or statistical modelling, ideally with commercial experience within the Telecoms, Banking or Utilities industries; or within a data-related consultancy\n, • Educated to degree level (postgraduate preferred) in a quantitative discipline such as Computer Science, Statistics, Mathematics, Economics, or similar\n, • Working knowledge of statistical and machine learning methods (e.g. logistic regression, gradient boosting, random forests, clustering, NLP\n, • Proficient in Python and/or R, with strong experience in data quality, model development and feature engineering\n, • Strong command of SQL and familiarity with data engineering environments such as Databricks or similar\n, • Skilled in data visualisation and storytelling using tools such as Power BI, Tableau, Plotly, or Sigma\n, • Demonstrated ability to translate technical findings into strategic recommendations for non-technical audiences\n, • Commercially aware, with proven success in applying analytics to solve business problems\n, • Strong communicator; able to engage stakeholders and present findings with clarity and confidence\n, • Self-motivated, organised, and proactive, with the ability to manage multiple priorities and stakeholders in a fast-paced environment\n, • Willing to travel across the UK for client engagements\n, • Must have the right to work in the UK and a commitment to ongoing professional development\n

Cable Cutting Machine Operator \n Location: Enfield Pay: £13.70 per hour Hours: 42.5 hours per week Working Hours: Monday to Friday, 8:00am – 5:30pm Contract: Temporary, with potential to become permanent Bonus: Uncapped annual performance-related bonus through a profit share scheme, paid each April \n The Role \n We are recruiting for a Cable Cutting Machine Operator to join a well-established business based in Enfield. \n This is a hands-on role involving the operation of cable cutting machinery, where accuracy and attention to detail are essential. You do not necessarily need previous experience operating this specific machinery, as training can be provided. However, you must be comfortable learning how to operate machinery safely and accurately. \n The role is initially temporary, with the potential to become permanent for the right candidate. \n Key Responsibilities \n\n • Operating cable cutting machinery safely and efficiently\n, • Measuring and cutting cable accurately to customer/order specifications\n, • Setting up and learning how to operate machinery correctly\n, • Checking completed work to ensure accuracy and quality\n, • Following health and safety procedures at all times\n, • Communicating effectively with colleagues and supervisors\n, • Picking and packing customer orders\n, • General warehouse duties during quieter periods\n, • Keeping the warehouse and working areas clean, organised and safe\n\n What We’re Looking For \n We’re looking for someone who is: \n\n • Highly attentive to detail, particularly when working with measurements and specifications\n, • Confident and willing to learn how to operate machinery\n, • A good communicator and able to work effectively as part of a team\n, • Reliable, punctual and hardworking\n, • Comfortable working in a warehouse environment\n, • Flexible and happy to support with picking, packing and other warehouse duties when required\n, • Safety-conscious with a responsible approach to work\n\n Previous warehouse or machine operating experience would be beneficial, but attitude, reliability and willingness to learn are equally important. \n Pay & Benefits \n\n • £13.70 per hour\n, • 42.5 paid hours per week\n, • Monday to Friday working pattern\n, • 8:00am – 5:30pm\n, • Temporary role with potential to become permanent\n, • Uncapped annual bonus, paid every April and based on individual/business performance through a profit share scheme\n, • Full training on the cable cutting machinery\n, • Opportunity to develop your skills within an established warehouse environment\n\n Interested? \n If you are looking for a hands-on warehouse role with the opportunity to learn machinery and potentially secure a permanent position, we’d love to hear from you. \n Apply now! \n

Description Solution Architect Location: London Clearance: SC Clearance We are looking for a senior customer-facing Solution Architect to help shape and win strategic opportunities across our UK Central Government portfolio. Working alongside account, capture and bid teams, you will engage customers, develop compelling solution strategies, lead solution development and support major pursuits from early qualification through to contract award. This role is ideal for someone who combines strong architecture credentials with experience supporting UK Government digital transformation programmes and competitive procurements. Responsibilities Engage customers early to understand mission needs, business challenges and transformation goals. Develop compelling, deliverable and differentiated solution strategies for major public sector pursuits. Lead solution development from early qualification through proposal, orals and handover to delivery. Create clear solution narratives, value propositions, win themes and architectural differentiators. Facilitate discovery workshops, architecture reviews and solution design sessions with customers and internal teams. Translate complex customer problems into practical differentiated solutions across multiple digital capabilities such as Data & Analytics, Cloud, Cyber Security, AI/ML, IT Service Management, Systems Integration and Digital Modernisation. You’ll help assess solution feasibility, delivery risk, commercial viability and strategic fit during qualification. Work with delivery and programme teams to ensure proposed solutions are credible, cost-aware and achievable. Represent the solution in customer meetings, executive briefings, bid reviews and orals. Contribute reusable solution patterns, proposition material and thought leadership for future pursuits. Support handover from growth into delivery so that commitments, risks and design intent are understood. Essential Experience We need someone with proven experience working with UK Central Government departments, agencies or arm's-length bodies. You have a understanding of how UK public sector customers buy, govern and deliver complex digital transformation programmes. Experience with departments such as HMRC, DWP, Defra, GDS, Cabinet Office or similar. You should have experience supporting competitive procurements, frameworks, bids, proposals or capture activities. Cloud or architecture certifications such as Azure, AWS or TOGAF are useful but not a substitute for relevant experience. The role requires someone who can create confidence with customers, strengthen capture strategy and improve the quality of major bids. The successful candidate will be a trusted adviser who can architect, not simply an architect who can present technology. Applicants should be able to evidence their personal contribution to winning, shaping or significantly improving strategic opportunities. You should understand how to balance customer outcomes, technical quality, delivery risk and commercial competitiveness. You should have strong workshop facilitation, stakeholder management and executive You must hold current and valid UK Security Check (SC) clearance. Extensive experience working in the UK and developing successful solutions for UK Government contracts. Desirable Experience We are particularly interested in candidates who have helped shape opportunities before formal procurement begins. Able to write clearly and contribute high-quality bid, proposal and presentation content. You do not need to be the deepest specialist in every domain, but you must know how to orchestrate specialists effectively. Experience in consulting, systems integration, managed services or complex technology delivery environments would be helpful. Knowledge of public sector procurement frameworks and competitive bid processes would be advantageous. Knowledge of AI-enabled transformation, data-driven services and platform modernisation would be advantageous. What you need to show Applicants should be able to describe trade-offs they made between scope, cost, risk, differentiation and deliverability. Applicants should be able to explain a complex government solution in plain business language. Applicants should be able to show how they worked with capture, commercial, delivery and technical teams to create a coherent proposition. Applicants should understand that this role may move between accounts, opportunities and sectors as business priorities change. The role is aligned to growth activity, but deployment will flex according to priority pursuits and business need. Additional Information This is not a product presales role focused on demos or licensing conversations. This is not a pure delivery architecture role focused only on post-award implementation. You must be able to travel regularly across the UK to support customer meetings, Leidos workshops and other pursuit activities, with very occasional travel to the United States. What we do for you: At Leidos we are PASSIONATE about customer success, UNITED as a team and INSPIRED to make a difference. We offer meaningful and engaging careers, a collaborative culture, and support for your career goals, all while nurturing a healthy work-life balance. We provide an employment package that attracts, develops and retains only the best in talent. Our reward scheme includes: • Contributory Pension Scheme, • Private Medical Insurance, • 33 days Annual Leave (including public and privilege holidays), • Access to Flexible benefits (including life assurance, health schemes, gym memberships, annual buy and sell holidays and a cycle to work scheme and much more!), • Flexi-Time Working Commitment to Diversity: We welcome applications from every part of the community and are committed to a truly diverse and inclusive culture. We foster a sense of belonging, welcoming all perspectives and contributions, and providing equal access to opportunities and resources for everyone. If you have a disability or need any reasonable adjustments during the application and selection stages please let us know, and we will respond in a way that best fits your needs. Who We Are: _ – we work to make the world safer, healthier, and more efficient through technology, engineering and science. Leidos is a growing company delivering innovative technology and solutions focused on safeguarding critical capabilities and transformation in frontline services, our work in the United Kingdom includes addressing some of the most complex problems in defence, healthcare, government, safety and security, and transportation. What Makes Us Different: Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire change. Collaboration: having flexibility to do your job is one of our core benefits, enabling you to become part of our extraordinary team. We have been empowering our people to work flexibly for years. Whether you work from home, the office or on customer sites, we will give you the digital tools and the flexibility to work smarter and align your needs and ours. People: Leidos empowers people from every background to be themselves and gives you the tools to learn new skills by enabling growth whilst developing. We believe that extraordinary people need opportunities to grow, to be inspired and to inspire others. At Leidos, we invest in technical academies, career rotations and a career development plans that enhance your future. If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares. For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. £75,800.00-£99,800.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit _. Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at _. Securing Your Data Beware of fake employment opportunities using Leidos’ name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system – never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at _. If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the _. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

White Collar Factory (95009), United Kingdom, London, LondonStaff Software Engineer - Machine Learning \n About this role \n We're on a mission to transform the way we use data and AI to service our customers and drive efficiency across the business. \n Do you love shaping the technical landscape and driving innovation across the organisation? \n Are you passionate about solving complex ML and AI challenges and supporting multiple teams toward a shared technical vision? \n At Capital One, you'll be part of a community of technical leaders who drive engineering excellence, foster innovation, and deliver impactful ML/AI and Gen AI solutions that meet real customer needs. \n What You'll Do \n\n • Own and drive the ML/AI technical strategy for UK use cases, spanning multiple teams and influencing the overall technical direction for AI adoption\n, • Lead and coordinate ML engineering efforts across multiple teams, ensuring alignment with broader business objectives, enterprise platform capabilities, and technology strategy\n, • Provide technical consultancy to teams delivering AI use cases, guiding architectural decisions, solution design, and effective use of enterprise ML/AI platforms and capabilities\n, • Proactively identify emerging ML/AI patterns, define and evangelise best practices, and establish reusable approaches that enhance delivery of AI use cases across the business\n, • Drive MLOps standards and practices across teams, including CI/CD for models, automated testing, monitoring, and deployment pipelines\n, • Collaborate with enterprise platform and data science teams, contributing to platform capabilities where appropriate and partnering on use case delivery\n, • Build and maintain strong relationships with key stakeholders, including senior leadership, product owners, data science teams, and enterprise platform partners\n, • Represent Capital One in external ML/AI technical forums, contributing to industry discussions\n, • Develop and advocate for strategies to proactively manage technical debt across ML/AI systems\n, • Actively mentor and develop engineers, fostering a culture of continuous learning\n\n What we're looking for \n\n • Deep expertise in Python and ML engineering\n, • Deep expertise in ML/AI systems design, MLOps, and cloud-native architectures\n, • Track record of leading ML/AI technical initiatives across multiple teams\n, • Strong experience with cloud platforms (AWS, Azure, GCP)\n, • Experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and Gen AI/Agentic frameworks (LangGraph, LangChain, VectorDBs, RAG)\n, • Understanding of responsible AI practices, including guardrails, hallucination mitigation, and output quality management for AI systems\n, • Experience designing and scaling low-latency, customer-facing ML/AI architectures\n, • Proven experience setting a multi-team ML/AI technical vision and strategy\n, • Strong track record of technical leadership and influence without authority\n, • Experience driving ML engineering standards and best practices across organisations\n, • Deep understanding of the full ML/AI development lifecycle, including model serving, data pipelines, and Gen AI systems\n, • Experience leveraging enterprise platforms to deliver business use cases at scale\n, • Experience of steering Communities of Practice or technical forums\n, • Strong business acumen and ability to translate ML/AI concepts for various audiences\n\n Where and how you'll work \n This is a permanent position based in our London office. \n We have a hybrid working model which gives you flexibility to work from our office and from home. \n We're big on collaboration and connection, so you'll be based in our London office 3 days a week on Tuesdays, Wednesdays and Thursdays. \n What's in it for you \n\n • Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation\n, • We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers)\n, • Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave\n, • Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms.\n\n What you should know about how we recruit \n We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. \n We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: \n\n • REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies\n, • OutFront - to provide LGBTQ+ support for all associates\n, • Mind Your Mind - signposting support and promoting positive mental wellbeing for all\n, • Women in Tech - promoting an inclusive environment in tech\n, • EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry\n, • Enabled - focused on supporting associates with disabilities and neurodiversity\n\n Capital One is committed to diversity in the workplace. \n If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. \n For technical support or questions about Capital One's recruiting process, please send an email to \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). \n You could be just the right applicant for this job Read all associated information and make sure to apply. \n Who We Are \n At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. \n Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. xxuwjjq Together, we are on a quest to change banking for good.

Rate: £825 per day, Inside IR35 Contract length: 12 months, rolling contract Location: London W1 Working arrangement: Hybrid, with a minimum of three days per week in the London office A boutique investment bank in London is hiring a hands-on Data Scientist at VP level to build AI and modelling products for its bankers. You will work within a small team, developing solutions that go into production and support live M&A and advisory deals. M&A experience is essential. You must understand the deal environment and be able to translate bankers’ requirements into practical AI and modelling solutions. What you will be doing: Building generative AI and machine learning products end to end, from prototype through to production. Applying LLMs and NLP to real M&A and advisory problems. Developing statistical and predictive models, from framing the question through to deployment. Writing production-quality Python, taking ownership of your code and working closely with engineering. Working directly with senior bankers and explaining your models, assumptions and reasoning clearly to non-technical stakeholders. What we are looking for: Demonstrable M&A experience, alongside a strong understanding of investment banking and advisory workflows. Strong hands-on experience in data science, AI and statistical modelling. Excellent Python skills and experience delivering models and AI products into production. Practical experience with generative AI, LLMs and NLP. The ability to explain your technical choices, evaluate model performance and demonstrate the impact of your work. Experience building platforms or products, with clear ownership of delivery. Confidence working with senior stakeholders in a demanding deal environment. * Availability to attend the London W1 office at least three days per week. Interview process: Includes a live coding exercise, so you will need to be comfortable writing code and explaining your approach during the interview. To apply, please submit your CV, highlighting your M&A experience and the AI or modelling products you have delivered into production. Bowers Partnership is acting as an employment business in relation to this vacancy

Head of Machine Learning Central London - Twice a week in the office £120,000-£140,000 I'm currently working with a well-established London FinTech wealth-management SaaS business, who are looking for a Machine Learning expert with strong leadership experience to join their growing team on a hybrid basis. This award-winning business supports global FinTech clients with cloud management, CRM solutions, productivity platforms and the ongoing development and scaling of their technology architecture. In this newly created role, you will head up the Data Science/Machine Learning team and take ownership of driving the adoption and implementation of AI across the business. This will include integrating AI/ML capabilities into their core SaaS products, which are used by a range of wealth management firms, banks and FinTech organisations globally. More about the company Founded in 2017. London based - twice a week in the office. Work with some of the largest FinTech & Payments companies globally. Investing heavily in AI/ML to simplify processes and enhance their products. Award-winning business and part of a wider financial services group. The Role - Head of Machine Learning Lead a small team of Data Scientists, with the role being predominantly technical alongside some people management. Drive the integration of ML and AI across the company's core SaaS products. Work closely with clients and internal teams to ensure AI solutions are developed and implemented effectively. Take ownership of the company's growing AI/ML strategy and help shape how these technologies are used across the business. Newly created position offering significant scope to grow and progress as the AI/ML function develops. Tech Requirements Strong background in Machine Learning, AI, Data Science, Data Engineering and SaaS environments. Experience leading technical teams, including some people management responsibility. Strong experience working with NLP, LLMs and other modern AI/ML solutions. Strong technical background across Data, Development and Cloud, ideally with Python and Azure. Previous experience taking ML/AI solutions from development through to implementation. Strong stakeholder management and communication skills. Must have recent experience within FinTech or Financial Services, ideally working with technology businesses, wealth management or banking clients. Benefits: 5% Pension, Bonus, 25 Days Holiday + Bank Holidays, Wellbeing Support, Self-development tools & various other perks. If this role sounds of interest and you're looking for an opportunity to take ownership of AI/ML within a growing FinTech business, please apply and I can give you a call to discuss it further. Tim Stock | (phone number removed)

Data Scientist (Fixed Term Contract) Contract Details: Contract Type: Fixed Term Contract Contract Length: 12 months Working Pattern: Full Time Daily Rate: £600 to £750Our client, a leading player in the retail industry, is seeking a talented Data Scientist to join their dynamic team on a fixed-term contract basis for 12 months. This is an exceptional opportunity to leverage your expertise in machine learning and statistics to drive impactful data science solutions that enhance customer experiences and optimise business operations. Role Overview: As a Data Scientist, you will be at the forefront of developing and deploying machine learning models that directly influence decision-making processes, customer service, and overall business performance. Your work will involve: Designing and implementing robust machine learning models and data pipelines. Experimenting with innovative approaches to translate complex business challenges into actionable data science solutions. Evaluating model performance through rigorous statistical analysis and assessing business impact. Collaborating closely with Machine Learning Engineers and Software Engineers to ensure seamless integration and adherence to best coding practises. Engaging with stakeholders across the organisation to communicate complex ideas in a clear and compelling manner, highlighting how data science can drive significant improvements.What Our Client Is Looking For: The ideal candidate will possess: A solid foundation in machine learning, statistics, and programming. A curious intellect, critical thinking skills, and a scientific mindset focused on achieving business impact. Proven experience in translating challenging business problems into effective data science solutions while communicating findings to both technical and non-technical audiences. Extensive proficiency in Python and experience working with large-scale data in distributed computing environments. Strong knowledge of coding practises, including version control and testing. The ability to thrive in an ambiguous environment, taking ownership from problem scoping through to delivery while effectively engaging stakeholders. Experience in marketing, personalisation, recommendation systems, optimisation, or adaptive experimentation would be advantageous. This is an exciting opportunity to make a significant impact within a vibrant team that is dedicated to pushing the boundaries of data science in the retail sector. If you are passionate about using data to transform customer experiences and drive business success, this role is perfect for you. How to Apply: Interested candidates are encouraged to apply promptly, as this role is expected to attract high interest. Please ensure your application highlights your relevant experience and showcases your passion for data science. Take the next step in your career and contribute to meaningful change in the retail landscape with our client! 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 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

This job is with Fitch Group, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. BMI, part of the Fitch Group, is currently seeking a Data Scientist based out of our London office BMI's systematic, independent, and data-driven market insights, analysis and forecasts enable customers to recognize and assess risks and opportunities across markets and industries. For almost 40 years, we have provided impartial views to support our customers’ strategic plans and investment decisions. At BMI, we’re proud of the work we do to help our clients manage risks and opportunities in global markets, which began in 1984 and continues to this day. By stepping into a role here, you will help shape the strategic decisions of the world’s leading organizations. As a member of our team, your role will go beyond conventional boundaries. You will collaborate with industry experts, thought leaders, and visionary executives, collectively working towards shaping the future of businesses that span a multitude of sectors. Our people are at the heart of everything we do, and we continuously strive to offer our colleagues a great place to work, with opportunities to learn, innovate, develop their careers, and serve the community. Want to learn more about a career at BMI? Visit: _ About the Team BMI's team integrates cross-domain expertise (Economics, Politics, 20+ industries, ESG, Commodities) and computer science to create systematic country risk analytics that are transparent and can be validated. We build and maintain robust models that our customers use to identify and manage country risks. Joining as a Data Scientist to support risk research and analysis, you will help shape the strategic decisions of the world’s leading organizations. Candidates will have the opportunity to explore, analyze, and write about our proprietary risk data for different use cases and aid in product development. As a member of our team, your role will go beyond conventional boundaries. You will collaborate with experts across risk management and other domains. As a Data Scientist, you will design, build, and deploy quantitative models that power advanced analytics and insights for our clients. You will work closely with country analysts, industry analysts, economists, political scientists, data scientists, and backend developers to deliver interpretable, scalable solutions. Your expertise will help us innovate and adapt our modeling frameworks to address diverse customer needs in a fast-paced, collaborative environment. How You’ll Make an Impact: • Prototype and test new approaches for extracting insights from structured and unstructured data for our core customer base – Corporates, Banks, Professional Services, and Asset Managers, • Develop and maintain robust ML and data pipelines for experimentation and deployment., • Design, build, and optimize risk models for analytics and generative AI applications using our proprietary NLP data generation process., • Collaborate cross functionally with Economists, Industry Analysts, Political Scientists, and Developers., • Explain ML/NLP model outputs and methodologies to non-technical stakeholders. You May be a Good Fit if: • Substantial experience querying, cleaning, compiling, and analyzing big data., • Familiarity applying various computational social science methods including data mining, data visualization, natural language processing, text analysis, and basic time series forecasting and machine learning models., • Familiarity with scenario analysis/stress-testing, simulation analysis, rare event modeling, and stochastic modeling preferred but not required., • Substantial experience with Python, R, and relevant libraries (e.g., numpy, pandas, scikit, pytorch, tidyverse, caret, ggplot, etc.)., • Proven experience developing, refining, and monitoring NLP models., • Familiarity with database management tools and techniques (e.g., SQL, Selenium, S3, Sagemaker, API protocols) is preferred but not required., • Understanding model evaluation methods and metrics., • Ability to operationalize non-technical ideas into relevant research designs, features, and model outputs., • Familiarity with experiment tracking and model management tools (e.g., DVC, Weights & Biases)., • Demonstrated experience with interpretable AI techniques. What Would Make You Stand Out: • Exposure to different cloud-based data and analytics platforms (e.g. AWS, DataBricks, Snowflake)., • Advanced degree in a quantitative subject, e.g. Mathematics, Physics, Engineering, Data Science, Machine Learning., • Experience of software engineering in an enterprise environment., • The ability to write production-grade code and to use coding assistants in a responsible manner., • Familiarity with DevOps practices and tools., • Hands-on experience with experimentation and model tracking tools (e.g., MLFlow, Weights & Biases)., • Demonstrable impact of technical solutions or projects on decision-making., • Experience working in fast-paced, agile environments., • Customer-facing experience, notably in understanding end user needs and building collaborative relationships. Why Choose Fitch: • Hybrid Work Environment: 3 days a week in office required, • A Culture of Learning & Mobility: Dedicated trainings, leadership development and mentorship programs designed to ensure that your time at Fitch will be a continuous learning opportunity, • Investing in Your Future: Retirement planning and tuition reimbursement programs that empower you to achieve your short and long-term goals, • Promoting Health & Wellbeing: Comprehensive healthcare offerings that enable physical, mental, financial, social, and occupational wellbeing, • Supportive Parenting Policies: Family-friendly policies, including a generous global parental leave plan, designed to help you balance career and family life effectively, • Inclusive Work Environment: A collaborative workplace where all voices are valued, with Employee Resource Groups that unite and empower our colleagues around the globe, • Dedication to Giving Back: Paid volunteer days, matched funding for donations and ample opportunities to volunteer in your community Fitch is committed to providing global securities markets with objective, timely, independent, and forward-looking credit opinions. To protect Fitch’s credibility and reputation, our employees must take every precaution to avoid conflicts of interest or any appearance of a conflict of interest. Should you be successful in the recruitment process at Fitch Ratings you will be asked to declare any securities holdings and other potential conflicts prior to commencing employment. If you, or your immediate family, have any holdings that may conflict with your work responsibilities, you may be asked to divest yourself of them before beginning work. Fitch is proud to be an Equal Opportunity and Affirmative Action Employer. We evaluate qualified applicants without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, disability, protected veteran status, and other statuses protected by law. #LI-TD1 #LI-Solutions #LI-Hybrid

Connect to your opportunity We are looking to strengthen our team by the hiring of focused, aspirational, and collaborative practitioners, and as such we are offering the opportunity to join as a Data Science and Machine Learning Manager to support this challenging and rapidly expanding business. Th

What You’ll Be Doing Leading and supporting the delivery of Agentic AI, GenAI, Data Science and Analytics projects across the full machine learning lifecycle Working closely with clients to understand business challenges and deliver innovative, data-driven solutions Demonstrating the value and pot