At a Glance
- Tasks: Design and deploy AI models while collaborating with clients and teams.
- Company: Leading tier-1 professional services firm expanding in AI and Data Science.
- Benefits: Hybrid working, clear progression routes, and a rapidly growing team.
- Other info: Multiple vacancies available with a fast interview process.
- Why this job: Join a dynamic team and make an impact in the exciting world of AI.
- Qualifications: 2+ years in machine learning or data science, strong Python skills required.
The predicted salary is between 70000 - 90000 £ per year.
A leading tier-1 professional services firm is expanding its AI and Data Science consulting practice, following significant team growth and increased demand for machine learning and AI model development and validation services. The Assistant Manager role will appeal to data scientists and ML engineers with a minimum of two years’ post-graduate experience who are ready to take responsibility for model development, tool-building, and technical validation across a variety of client-facing and internal projects. This opportunity offers structured career progression, exposure to a diverse range of AI use cases, and the chance to grow within a high-profile, active growth area of the business.
Key Responsibilities:
- Design, build, and deploy AI and machine learning models for internal and external clients
- Deliver technical validation of AI models, including LLM and agentic frameworks
- Contribute to both development and validation workstreams within the AI & Data team
- Engage directly with clients and stakeholders to understand requirements and communicate solutions
- Collaborate across project teams to deliver impactful, innovative solutions
- Maintain high coding standards (primarily Python) and leverage cloud compute platforms as required
- Ensure clear reporting on project progress and effective task management within wider team
- Support knowledge sharing and continual improvement within a collaborative, fast-growing practice
Experience Required:
- At least 2 years’ post-graduate professional experience in machine learning or data science roles (education not counted towards experience)
- Expertise in development of machine learning models (not purely pipelines or dashboards)
- Strong Python programming skills, including use of key ML libraries/packages
- Practical experience with one or more cloud compute platforms (Azure, AWS, or Google Cloud)
- Demonstrable exposure to LLMs, agentic frameworks, or technical model validation
- Excellent communication skills and the ability to engage both technical and non-technical stakeholders
- Evidence of working effectively within wider project teams
Desirable:
- Prior experience in a consulting environment
- Exposure to a range of AI use cases (e.g. image recognition, GAI-based, agentic models)
- Experience supporting internal tooling projects or validation in regulated environments
- Familiarity with project management tools or methodologies
Additional Information:
- Hybrid working with primary office base in London
- Rapidly growing team (expanded from 5 to 19 in the past year)
- Clear routes to progression for high performers
- Multiple Assistant Manager vacancies available
- Time-to-hire can be expedited; interview process typically 2–3 rounds focused on technical and soft skills
Key Skills Required: machine learning, AI, model development, Python, LLM, agentic frameworks, cloud computing, consulting, stakeholder management, model validation.
To apply, please submit your CV or contact us for a confidential discussion.
Assistant Manager – AI & Machine Learning in London employer: Ingham Jones
Join a leading tier-1 professional services firm that champions innovation and growth in the AI and Data Science sector. With a collaborative work culture, structured career progression, and exposure to diverse AI use cases, this role offers an exciting opportunity for data scientists and ML engineers to thrive in a rapidly expanding team based in London. Enjoy the benefits of hybrid working, clear routes for advancement, and the chance to make a significant impact on client projects while developing your skills in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Assistant Manager – AI & Machine Learning in London
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We think you need these skills to ace Assistant Manager – AI & Machine Learning in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Ingham Jones, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Ingham Jones. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Ingham Jones
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Ingham Jones!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
