At a Glance
- Tasks: Deliver innovative AI/ML solutions and tackle data challenges for clients.
- Company: Join a leading consultancy with a collaborative and supportive culture.
- Benefits: Enjoy hybrid working, world-class training, and flexible work options.
- Other info: Dynamic role with excellent career growth and learning opportunities.
- Why this job: Make a real impact by developing cutting-edge AI technologies.
- Qualifications: Hands-on experience in AI solutions and strong programming skills required.
The predicted salary is between 60000 - 80000 £ per year.
As a practitioner in AI & Data, you are responsible for delivering AI/ML Engineering on client projects. You will devise innovative solutions to help clients address their biggest data challenges, including developing modern analytics platforms. AI/ML Engineers develop, deploy, and maintain AI/ML systems, leveraging ML algorithms, deep learning techniques, and cloud infrastructure. They monitor and optimise model performance.
Responsibilities
- Collaborate with client stakeholders and internal teams to understand business requirements and translate them into robust AI solutions.
- Coordinate with distributed delivery teams across Deloitte's wider network.
- Design, develop, and implement end-to-end AI pipelines, including data acquisition, preprocessing, feature engineering, model training, evaluation, and deployment.
- Develop and implement AI/machine‑learning models for prediction, classification, automation, and insight generation.
- Build and maintain scalable data pipelines, datasets, and data models to support analytics, reporting, and AI use cases.
- Keep up to date with advances in AI, exploring and evaluating new technologies and approaches.
- Optimise data processing, storage, and model performance for scalability and efficiency.
Qualifications
- Hands‑on experience developing and deploying AI solutions in a professional setting.
- Experience building data pipelines and working with structured and unstructured data.
- Proficiency with MLOps tools and practices for model deployment, monitoring, and governance.
- Experience in agile delivery environments.
- Strong analytical and problem‑solving skills with attention to detail.
- Proficient programming in Python, SQL, and/or similar languages.
- Experience with AI/ML libraries such as TensorFlow, PyTorch, scikit‑learn; familiarity with Generative AI or langchain is desirable.
- Solid understanding of ML algorithms, deep learning architectures, and statistical modelling.
- Experience with cloud platforms (AWS, Azure, GCP) and their AI/ML services.
- Data engineering skills: SQL, big‑data technologies (Spark, Hadoop), ETL, automated workflows.
- Knowledge of data governance, security, and privacy standards.
- Knowledge of distributed computing techniques such as parallel processing, streaming, and batch orchestration.
Benefits & Working Conditions
- Location: London.
- Hybrid working model with flexibility across office, virtual collaboration spaces, client sites, and remote work.
- Access to world‑class training, development opportunities, and a supportive collaborative culture.
Consultant - Manager, AI & Data Engineer, AI & Data, Engineering & Transformation, London employer: Hm Revenue & Customs (Hmrc)
Deloitte is an exceptional employer for those seeking to advance their careers in AI and Data Engineering. With a hybrid working model that promotes flexibility, employees benefit from world-class training and development opportunities within a supportive and collaborative culture. Working in London, you will be at the forefront of innovative solutions, tackling significant data challenges while enjoying a vibrant city atmosphere.
Contact Details:
Hm Revenue & Customs (Hmrc) Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Consultant - Manager, AI & Data Engineer, AI & Data, Engineering & Transformation, London
✨Tip Number 1
Network like a pro! Reach out to people in the AI & Data field on LinkedIn or at industry events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI/ML projects. Whether it’s a GitHub repo or a personal website, let your work speak for itself.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to AI & Data. Use mock interviews with friends or online platforms to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of resources to help you land that dream job, so make sure you take advantage of everything we offer.
We think you need these skills to ace Consultant - Manager, AI & Data Engineer, AI & Data, Engineering & Transformation, London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the job description. Highlight your hands-on experience with AI solutions and data pipelines, and don’t forget to mention any relevant tools like TensorFlow or PyTorch. We want to see how your skills align with what we’re looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us about your passion for AI & Data and how you’ve tackled similar challenges in the past. Be specific about your achievements and how they relate to the role. We love a good story!
Showcase Your Projects:If you’ve worked on any cool AI/ML projects, make sure to include them! Whether it’s a personal project or something from your professional experience, we want to see your problem-solving skills in action. Include links if possible!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates. Plus, it’s super easy – just follow the prompts and let us know why you’d be a great fit!
How to prepare for a job interview at Hm Revenue & Customs (Hmrc)
✨Know Your AI & Data Stuff
Make sure you brush up on your knowledge of AI/ML algorithms, deep learning techniques, and cloud platforms like AWS or Azure. Be ready to discuss specific projects where you've developed and deployed AI solutions, as this will show your hands-on experience.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've tackled complex data challenges in the past. Think about times when you had to optimise model performance or build scalable data pipelines, and be ready to explain your thought process.
✨Familiarise Yourself with MLOps
Since MLOps is crucial for model deployment and monitoring, make sure you understand the tools and practices involved. Be prepared to discuss how you've used these in previous roles, especially in agile environments.
✨Engage with the Interviewers
Don't just wait for questions; engage with your interviewers by asking insightful questions about their current projects or challenges. This shows your interest in the role and helps you gauge if the company is the right fit for you.
