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For Companies At a Glance
- Tasks: Lead AI projects, build and deploy machine learning models in secure environments.
- Company: Dynamic tech company focused on cutting-edge AI solutions for government and defence.
- Benefits: Comprehensive benefits, 25 days leave plus 3 for charity, and a culture of growth.
- Why this job: Join a team at the forefront of AI innovation and make a real impact.
- Qualifications: Strong Python skills and experience with machine learning and cloud platforms.
- Other info: Opportunity for professional growth and travel to work with clients.
The predicted salary is between 36000 - 60000 £ per year.
We are seeking a high-caliber Data Scientist Specialist with a strong focus on MLOps to join our dynamic team. This role is dedicated to delivering cutting-edge AI solutions within highly secure government and defense environments. You will work at the intersection of data science and engineering to build, deploy, and manage sophisticated machine learning models.
Key Responsibilities
- Technical Leadership: Act as the subject matter expert for Machine Learning and Large Language Models (LLMs).
- Model Deployment: Build and deploy LLMs and ML models within Cloud environments or on High-Performance Computing (HPC) clusters.
- Innovation: Stay at the forefront of GenAI advancements and integrate latest trends into client solutions.
- Project Management: Lead day-to-day technical engagements and mentor/performance manage a small technical team.
- Consultancy: Translate complex technical solutions for non-technical stakeholders through clear writing and impactful presentations.
Technical Requirements
- Programming: Robust Python skills are mandatory.
- AI Architectures: Deep understanding of one or more: Agentic AI, Graph RAG, Traditional RAG, Vision Language Models/Computer Vision, or Audio Processing.
- Engineering Tools: Experience with Docker, Linux/Unix CLI, Git, and automated testing.
- Cloud Platforms: Proficiency in a major cloud provider (AWS or Azure preferred).
- Governance: Solid knowledge of data governance and security best practices.
- Familiarity with GPU utilization in cloud environments.
- Experience building APIs and modern CI/CD pipelines.
- Knowledge of monitoring tools for ML pipelines and data health.
- Strong foundation in DevOps and Data Engineering principles.
Professional Attributes
- Critical Thinker: Ability to evaluate information and present data-driven solutions.
- Collaborative: Proven ability to manage internal and external stakeholders to ensure project synergy.
- Adaptive: Comfortable working across a breadth of technologies to solve customer-specific problems.
- Consultative Mindset: Experience in consultancy or client-facing roles is highly beneficial.
Mandatory Security Requirements
Due to the nature of the projects, any offer of employment is subject to satisfactory BPSS and SC security clearance. Requirements typically include:
- 5 years of continuous UK address history.
- No periods of 30 consecutive days or more spent outside of the UK during that period.
- British Passport holder with no dual nationalism at the point of application.
Benefits & Culture
- Comprehensive benefits package including private medical insurance.
- 25 days annual leave plus 3 extra days for charitable work.
- An environment that fosters entrepreneurial thinking and continuous professional growth.
- Mobility Requirement: Flexibility to travel and work onsite with clients and partners as required.
Data Scientist in West Bromwich employer: Anson McCade
Contact Detail:
Anson McCade Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist in West Bromwich
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow data enthusiasts. 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 projects, especially those involving MLOps and machine learning models. 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 soft skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with non-technical stakeholders.
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications directly from candidates who are passionate about joining our team. Plus, it shows you're genuinely interested in what we do.
We think you need these skills to ace Data Scientist in West Bromwich
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to highlight your experience with MLOps and machine learning models. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI solutions and how your background makes you a perfect fit for our dynamic team. Keep it engaging and personal!
Showcase Your Technical Skills: Don’t forget to emphasise your programming skills, especially in Python, and any experience with cloud platforms like AWS or Azure. We love seeing candidates who can demonstrate their technical prowess clearly.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Let’s get started!
How to prepare for a job interview at Anson McCade
✨Know Your MLOps Inside Out
Make sure you brush up on your MLOps knowledge before the interview. Be ready to discuss how you've built and deployed machine learning models, especially in cloud environments or HPC clusters. Highlight any specific projects where you’ve integrated cutting-edge AI solutions.
✨Showcase Your Technical Skills
Prepare to demonstrate your robust Python skills and familiarity with AI architectures. Bring examples of your experience with Docker, Git, and CI/CD pipelines. If you’ve worked with cloud platforms like AWS or Azure, be ready to share how you utilised them in your previous roles.
✨Communicate Clearly
Since this role involves translating complex technical solutions for non-technical stakeholders, practice explaining your past projects in simple terms. Use clear, impactful language to convey your ideas, and prepare a few examples that showcase your consultative mindset.
✨Be Ready for Scenario Questions
Expect scenario-based questions that assess your critical thinking and problem-solving abilities. Think about how you would approach specific challenges in data governance or security best practices, and be prepared to discuss your thought process and decision-making.
