Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead ML and DevOps teams, driving innovative AI solutions daily.
- Company: Join a top-tier AI/Machine Learning organisation making waves in tech.
- Benefits: Enjoy flexible work options, competitive salary, and exciting corporate perks.
- Why this job: Be part of a dynamic culture focused on cutting-edge technology and impactful projects.
- Qualifications: 7+ years in software engineering with strong ML and DevOps expertise required.
- Other info: Ideal for those with a Master's or Ph.D. in relevant fields.
The predicted salary is between 72000 - 108000 £ per year.
My client is looking for a Technology Lead for a leading AI/Machine Learning organisation.
Essential qualifications, experience, knowledge, and skills:
- 7+ years of experience in software engineering, including leading ML, full-stack, and DevOps teams.
- Proven experience in Machine Learning (NLP, OCR, LLMS, predictive, generative and extraction models) and Full Stack Development using MEAN stack (MongoDB / DynamoDb/Non-Relational Database, ExpressJS, Angular, NodeJS).
- Expertise in AWS Cloud services (EC2, Lambda, S3, Elastic Beanstalk, SageMaker) and experience with infrastructure automation and containerisation tools (Terraform, CloudFormation, Docker).
- Strong background in DevOps methodologies, CI/CD pipelines (GitLab / Jenkins), and infrastructure as code (IaC).
- Deep understanding of Python, R, and deep learning frameworks like TensorFlow, PyTorch.
- Experience with monitoring tools like Prometheus, Grafana, BugSnag, Google Crash Analytics or Datadog.
- Strong leadership and problem-solving skills with a focus on scalability, security, and high availability.
- Proven track record in managing multiple technical teams across machine learning, full-stack, MLOps and DevOps.
Desirable qualifications, experience, knowledge, and skills:
- Master’s or Ph.D. in Computer Science, Machine Learning, Data Science, or a related field.
- Experience in a startup environment or in a healthcare technology company.
- Familiarity with big data technologies such as Hadoop or Spark.
- Experience with security compliance and standards (e.g., ISO, HIPAA, OWASP).
- Familiarity with ElasticSearch, AWS Beanstalk, and AWS Lambda.
This is an exceptional mandate - please send CV if interested.
Technical Lead - Machine Learning/DevOps employer: RP Recruitment Ltd
Contact Detail:
RP Recruitment Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Technical Lead - Machine Learning/DevOps
✨Tip Number 1
Network with professionals in the AI and Machine Learning fields. Attend relevant meetups, webinars, or conferences to connect with industry leaders and learn about potential job openings. Engaging with the community can often lead to referrals.
✨Tip Number 2
Showcase your technical skills through personal projects or contributions to open-source initiatives. Highlighting your experience with ML models, DevOps practices, and full-stack development can make you stand out to hiring managers.
✨Tip Number 3
Prepare for technical interviews by practising coding challenges and system design problems related to machine learning and DevOps. Familiarise yourself with common tools and frameworks mentioned in the job description to demonstrate your expertise.
✨Tip Number 4
Research the company’s projects and technologies they use. Understanding their specific applications of machine learning and DevOps will allow you to tailor your discussions during interviews and show genuine interest in their work.
We think you need these skills to ace Technical Lead - Machine Learning/DevOps
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your 7+ years of experience in software engineering, particularly in Machine Learning and DevOps. Emphasise your leadership roles and specific projects that showcase your expertise in the MEAN stack and AWS services.
Craft a Compelling Cover Letter: Write a cover letter that connects your background in ML and DevOps to the requirements of the role. Mention your experience with infrastructure automation and containerisation tools, and how these skills can benefit the company.
Showcase Relevant Projects: Include specific examples of projects where you led teams in developing ML models or full-stack applications. Highlight your problem-solving skills and any experience with CI/CD pipelines and monitoring tools.
Highlight Continuous Learning: Mention any relevant certifications or courses you've completed, especially those related to Machine Learning, DevOps, or cloud technologies. This shows your commitment to staying updated in a rapidly evolving field.
How to prepare for a job interview at RP Recruitment Ltd
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with machine learning models, full-stack development, and DevOps practices. Highlight specific projects where you've led teams or implemented solutions using the technologies mentioned in the job description.
✨Demonstrate Leadership Skills
Since this role requires strong leadership, be ready to share examples of how you've successfully managed technical teams. Discuss your approach to problem-solving and how you ensure scalability and security in your projects.
✨Familiarise Yourself with Relevant Tools
Brush up on the tools and technologies listed in the job description, such as AWS services, Terraform, and CI/CD pipelines. Being able to speak confidently about these will show that you're not only qualified but also proactive in your preparation.
✨Prepare Questions for the Interviewers
Think of insightful questions to ask about the company's culture, their approach to AI and machine learning, and how they handle challenges in scalability and security. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
