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- Tasks: Design and deploy innovative ML systems while collaborating with skilled teams.
- Company: Join a mission-driven consultancy focused on breakthrough AI solutions.
- Benefits: Enjoy 25 days leave, private medical insurance, and a generous pension scheme.
- Why this job: Make a real-world impact in a flat, collaborative environment that values your ideas.
- Qualifications: A 2:1 or above in a relevant field and strong Python skills are essential.
- Other info: Eligibility for UK security clearance is required for this role.
The predicted salary is between 43200 - 72000 £ per year.
About the role: Join a mission-focused technology consultancy delivering breakthrough AI and machine learning solutions to complex, real-world problems. You will apply your curiosity, creativity, and rigour to design and deploy ML systems across diverse projects, working in multi-disciplinary teams of highly skilled scientists and engineers. In this role, you will: Research, design, and build ML models, pipelines, and systems, often in novel or resource-constrained environments. Rapidly prototype and test feasibility while moving concepts toward client-ready demonstrators and deployable products. Solve problems across the entire ML development cycle: ideation, data preparation, model development and refinement, and packaging for deployment. Collaborate across engineering and scientific domains to explore pioneering technologies and deliver impactful solutions.What they\’re looking for: A 2:1 or above in a relevant discipline (Physics, Maths, Engineering, Computer Science, or similar). Advanced degrees or equivalent R&D experience are highly valued. Strong Python programming skills. Hands-on experience with frameworks such as TensorFlow, PyTorch, or JAX. Experience designing ML solutions in novel problem spaces or constrained environments (e.g., edge processing). Familiarity with a broad range of ML techniques (computer vision, generative models, audio processing, etc.), or the ability to adapt quickly to new areas. Exposure to GPU programming (e.g., CUDA) is a plus. Ability to communicate complex technical ideas clearly to colleagues and stakeholders.Client-facing experience or a willingness to engage with stakeholders and project teams is highly desirable. Why join? Work on projects that have meaningful real-world impact. Contribute ideas in a flat, collaborative environment that values openness and innovation. Access well-equipped labs and modern offices with on-site amenities. Benefit from clear opportunities for growth into project leadership or client-facing roles, supported by experienced peers.Benefits 10% employer pension contribution (+3% personal) Private medical insurance for you and your family Life insurance 25 days annual leave plus bank holidays Enhanced family leave Electric vehicle leasing & cycle-to-work scheme Access to social and sports clubs, on-site gym, and local discountsYou will need to be eligible for UK security clearance for this role
Machine Learning Consultant | Cambridge | Consultancy employer: SoCode Limited
Contact Detail:
SoCode Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Consultant | Cambridge | Consultancy
✨Tip Number 1
Familiarise yourself with the latest trends and technologies in machine learning. This will not only help you during interviews but also demonstrate your genuine interest in the field, making you a more attractive candidate.
✨Tip Number 2
Engage with the machine learning community through forums, webinars, or local meetups. Networking can lead to valuable connections and insights about the consultancy landscape, which may give you an edge in your application.
✨Tip Number 3
Prepare to discuss specific projects where you've applied machine learning techniques. Be ready to explain your thought process, challenges faced, and how you overcame them, as this showcases your problem-solving skills.
✨Tip Number 4
Practice articulating complex technical concepts in simple terms. Since client-facing experience is desirable, being able to communicate effectively with non-technical stakeholders will set you apart from other candidates.
We think you need these skills to ace Machine Learning Consultant | Cambridge | Consultancy
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in machine learning, Python programming, and any frameworks like TensorFlow or PyTorch. Emphasise your problem-solving skills and any client-facing experience you have.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and machine learning. Discuss specific projects where you've designed ML models or systems, and how your curiosity and creativity can contribute to the consultancy's mission.
Showcase Technical Skills: Clearly outline your technical skills related to machine learning techniques, GPU programming, and any hands-on experience with novel problem spaces. Use examples to demonstrate your ability to communicate complex ideas effectively.
Highlight Collaborative Experience: Mention any experience working in multi-disciplinary teams or engaging with stakeholders. This role values collaboration, so showcasing your ability to work well with others will strengthen your application.
How to prepare for a job interview at SoCode Limited
✨Showcase Your Technical Skills
Be prepared to discuss your Python programming skills and any experience you have with frameworks like TensorFlow, PyTorch, or JAX. Bring examples of ML models or systems you've built, and be ready to explain the challenges you faced and how you overcame them.
✨Demonstrate Problem-Solving Abilities
Since the role involves solving problems across the entire ML development cycle, think of specific instances where you've tackled complex issues. Be ready to walk through your thought process, from ideation to deployment, highlighting your creativity and analytical skills.
✨Communicate Clearly
You’ll need to convey complex technical ideas to both colleagues and stakeholders. Practice explaining your past projects in simple terms, focusing on the impact and outcomes rather than just the technical details. This will show your ability to engage with non-technical team members.
✨Engage with the Company’s Mission
Research the consultancy's projects and their real-world impact. During the interview, express your enthusiasm for working on meaningful projects and how your background aligns with their mission. This will demonstrate your genuine interest in the role and the company.
