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: Hybrid working model, world-class training, and development opportunities.
- Other info: Dynamic environment with excellent career growth and flexibility.
- 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)
As a leading employer in the AI & Data sector, our London office offers a dynamic and collaborative work environment where innovation thrives. We provide world-class training and development opportunities, ensuring that our employees grow alongside cutting-edge technology while enjoying a flexible hybrid working model that promotes work-life balance. Join us to tackle meaningful data challenges and be part of a supportive culture that values your contributions and fosters professional growth.
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 folks in the AI and data space 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 related to AI and data engineering. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
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 experience with AI/ML solutions, data pipelines, and any relevant programming skills. We want to see how your background aligns with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI & Data and how you can contribute to our team. Be sure to mention specific projects or experiences that relate to the role.
Showcase Your Skills:Don’t just list your skills; demonstrate them! If you've worked with MLOps tools or cloud platforms, give examples of how you've used them in real-world scenarios. We love seeing practical applications of your expertise.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Hm Revenue & Customs (Hmrc)
✨Know Your AI & Data Stuff
Make sure you brush up on the latest trends and technologies in AI and data engineering. Familiarise yourself with MLOps tools, cloud platforms like AWS or Azure, and popular libraries such as TensorFlow and PyTorch. Being able to discuss these topics confidently will show that you're not just a candidate, but a knowledgeable practitioner.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex data challenges in the past. Think about projects where you developed AI solutions or optimised data pipelines. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your analytical skills.
✨Understand the Business Context
It's crucial to demonstrate that you can translate business requirements into technical solutions. Research the company and its clients, and be ready to discuss how your skills can help them address their biggest data challenges. This shows that you’re not just technically savvy, but also business-minded.
✨Ask Insightful Questions
Interviews are a two-way street, so prepare some thoughtful questions to ask your interviewers. Inquire about the team dynamics, the types of projects you'll be working on, or how they stay ahead of AI advancements. This not only shows your interest but also helps you gauge if the company is the right fit for you.
