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- Tasks: Design and deploy ML models for national security applications using cutting-edge tech.
- Company: Join Anson McCade, a leader in IT services and consulting.
- Benefits: Earn up to £65k plus a £7k annual DV bonus and enjoy hybrid working.
- Why this job: Make a real impact with niche datasets and innovative AI solutions.
- Qualifications: Proficient in Python, ML frameworks, and AWS services; experience with LLMOps is a plus.
- Other info: Flexible benefits and excellent career growth opportunities await you.
The predicted salary is between 46800 - 78000 £ per year.
Base pay range: Up to £65k + £7k annual DV bonus (once obtained)
About the Role: We’re seeking Machine Learning Engineers to design and deploy ML models for national security applications. You’ll work on GenAI, LLMOps, and traditional ML solutions using AWS infrastructure, unique datasets collaborating with data scientists and software engineers to build greenfield solutions.
What You’ll Do:
- Build and optimise Machine Learning pipelines
- Develop LLM-powered solutions and apply responsible AI practices
- Transition experiments into production‑ready solutions
- Implement experiment tracking and monitoring
- Collaborate with data scientists and engineers
What We’re Looking For:
- Proficiency in Python and ML frameworks (scikit‑learn, PyTorch, TensorFlow)
- Hands‑on experience with AWS ML services (SageMaker, Lambda)
- Familiarity with containerisation (Docker) and orchestration (Kubernetes/ECS)
- Knowledge of LLMOps and GenAI tools (LangChain, LangSmith)
- Understanding of feature engineering and vector databases
- Strong grasp of CI/CD practices for ML deployment
Why Join Us:
- Work with niche datasets and cutting‑edge tech
- Hybrid working and flexible benefits
- £7k tax‑free DV bonus once clearance completes
Reference: AMC/JWH/MLEL1
Seniority level: Mid‑Senior level
Employment type: Full‑time
Job function: Information Technology
Industries: IT Services and IT Consulting
Machine Learning Engineer employer: Anson McCade
Contact Detail:
Anson McCade Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with other Machine Learning Engineers. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects, especially those using AWS and LLMOps. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your past projects in detail. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge. Let’s get you that Machine Learning Engineer role!
We think you need these skills to ace Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Machine Learning Engineer role. Highlight your experience with Python, ML frameworks, and AWS services. 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 explain why you’re passionate about machine learning and how your background makes you a great fit for our team. Let us know what excites you about working on national security projects.
Showcase Relevant Projects: If you've worked on any relevant projects, make sure to include them in your application. Whether it's building ML pipelines or developing LLM-powered solutions, we want to see your hands-on experience!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Anson McCade
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python and the ML frameworks mentioned in the job description, like scikit-learn, PyTorch, and TensorFlow. Brush up on AWS ML services too, especially SageMaker and Lambda, as these will likely come up during technical discussions.
✨Showcase Your Projects
Prepare to discuss specific projects where you've built and optimised ML pipelines or developed LLM-powered solutions. Be ready to explain your thought process, the challenges you faced, and how you applied responsible AI practices in those projects.
✨Understand the Role's Context
Familiarise yourself with national security applications and how machine learning can be leveraged in this field. This will help you align your answers with the company’s mission and demonstrate your genuine interest in the role.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the types of datasets you'll be working with, and the tools they use for CI/CD practices. This shows that you’re not just interested in the job, but also in how you can contribute to their success.
