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- Tasks: Join us as a Machine Learning Engineer Consultant to tackle innovative projects protecting the UK from threats.
- Company: Be part of a dynamic SME with ambitious growth plans and a commitment to innovation.
- Benefits: Enjoy competitive salary, private medical insurance, and opportunities for professional development.
- Why this job: Work on challenging projects in a collaborative environment with access to state-of-the-art resources.
- Qualifications: Strong skills in machine learning, coding in Python, and a relevant post-graduate degree or PhD required.
- Other info: This is an on-site role with flexible working policies; security clearance is necessary.
The predicted salary is between 43200 - 72000 £ per year.
Machine Learning Engineer Consultant
Location: Cambridge, England, United Kingdom
Contract: Permanent
Salary: Competitive + Excellent Benefits
Job Description:
Electus Recruitment is seeking a Machine Learning Engineer Consultant to join a dynamic SME that is part of a larger group of companies poised for significant growth. As a Machine Learning Engineer Consultant, you will contribute to innovative projects that protect the UK from emerging threats.
Key Responsibilities:
- Conduct in-depth research into state-of-the-art machine learning techniques and related emerging technologies.
- Design, develop and implement machine learning models for a variety of tasks, from proof-of-concept to working prototypes.
- Understand the underlying algorithms, mathematical concepts and workings of machine learning techniques.
- Collaborate with a multi-disciplinary team of experts to solve complex challenges.
- Communicate solutions to technical and non-technical stakeholders.
Requirements:
- Strong technical skills and proven track record in machine learning research, with a focus on deep learning techniques and neural network architectures.
- Experience with machine learning libraries and frameworks such as PyTorch, TensorFlow and Keras; data manipulation libraries such as Pandas and NumPy; and MLOPs tools such as Docker.
- Experience with emerging machine learning technologies such as RL, XAI and Generative AI including LLMs.
- Strong coding proficiency in Python.
- An enquiring mind and a passion for problem-solving.
- Post-Graduate Degree and research experience or a PhD in a relevant field such as Physics, Mathematics, Computer Science or Engineering.
- Ability to obtain and maintain UK security clearance.
- This is an on-site role. A flexible working policy exists however the applicant is expected to be on-site for the majority of the time.
“Due to the nature of work undertaken by our client, incumbents of these positions are required to undergo pre-employment screening and must be able to satisfy clearance criteria for UK Security Vetting”
Benefits:
- Competitive salary and benefits package.
- Opportunity to work on challenging and rewarding projects.
- Collaborative and supportive work environment.
- Access to state-of-the-art facilities and resources.
- Opportunities for professional development and growth.
- Generous pension scheme.
- Private medical insurance.
- Employee assistance program.
- Company-sponsored social events.
- Comprehensive relocation package available, if applicable.
Join a company that is committed to growth and innovation. They are a dynamic SME with ambitious plans to double their size over the next five years. As part of our client’s team, you can contribute to their success and be part of something truly exciting.
To apply please send us your CV highlighting your relevant experience.
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Machine Learning Engineer Consultant employer: Electus Recruitment
Contact Detail:
Electus Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer Consultant
✨Tip Number 1
Make sure to showcase your experience with machine learning libraries like PyTorch and TensorFlow. Highlight specific projects where you've implemented these technologies, as this will demonstrate your hands-on skills.
✨Tip Number 2
Familiarize yourself with the latest trends in machine learning, especially in areas like Reinforcement Learning and Generative AI. Being able to discuss these topics during your interview will show your passion and commitment to staying updated in the field.
✨Tip Number 3
Prepare to explain complex machine learning concepts in simple terms. Since you'll be communicating with both technical and non-technical stakeholders, being able to bridge that gap is crucial for this role.
✨Tip Number 4
Research the company’s recent projects and initiatives. Understanding their focus on protecting the UK from emerging threats will help you align your answers with their mission during the interview.
We think you need these skills to ace Machine Learning Engineer Consultant
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in machine learning, especially focusing on deep learning techniques and neural network architectures. Include specific projects or research that demonstrate your skills with libraries like PyTorch, TensorFlow, and Keras.
Craft a Strong Cover Letter: Write a cover letter that showcases your passion for problem-solving and your understanding of the role. Mention your experience with emerging technologies such as RL, XAI, and Generative AI, and how they relate to the company's goals.
Highlight Technical Skills: In your application, clearly list your technical skills, including coding proficiency in Python and familiarity with data manipulation libraries like Pandas and NumPy. This will help demonstrate your capability to meet the job requirements.
Prepare for Security Clearance: Since the role requires UK security clearance, be prepared to discuss your background and any potential issues that may arise during the vetting process. Ensure you understand the requirements and can provide necessary documentation if needed.
How to prepare for a job interview at Electus Recruitment
✨Showcase Your Technical Skills
Be prepared to discuss your experience with machine learning libraries like PyTorch, TensorFlow, and Keras. Highlight specific projects where you've implemented deep learning techniques or neural network architectures.
✨Demonstrate Problem-Solving Abilities
Prepare examples of complex challenges you've faced in previous roles and how you approached solving them. This will showcase your enquiring mind and passion for problem-solving.
✨Communicate Effectively
Practice explaining technical concepts in a way that non-technical stakeholders can understand. This is crucial as the role involves collaboration with a multi-disciplinary team.
✨Research Emerging Technologies
Familiarize yourself with the latest trends in machine learning, such as Reinforcement Learning, Explainable AI, and Generative AI. Being knowledgeable about these topics will demonstrate your commitment to staying at the forefront of the field.
