AI and Machine LearningEngineer - - Reply
AI and Machine LearningEngineer - - Reply

AI and Machine LearningEngineer - - Reply

London Full-Time 30000 - 50000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Design and develop machine learning processes for diverse client environments.
  • Company: Data Reply are data specialists focused on AI, ML, and advanced analytics solutions.
  • Benefits: Enjoy extensive training, hackathons, and a vibrant work culture with peers who share your passion.
  • Why this job: Work on exciting projects with leading brands and thrive in a supportive, diverse environment.
  • Qualifications: A minimum 2.1 degree in Engineering/Computer Science; experience in ML model deployment is preferred.
  • Other info: Flexible travel opportunities and a commitment to diversity in the workplace.

The predicted salary is between 30000 - 50000 £ per year.

AI and Machine LearningEngineer About Data Reply: DATA REPLY are data specialists, offering data platforms, BI, advanced analytics and AI/Machine Learning (ML) solutions to drive business success. We specialise in developing, deploying and operating production data solutions on AWS cloud. www.data.reply.com Role overview: As a AI & Machine Learning Engineer, you\’ll be instrumental inthe design and development of machine learningprocesses in a variety of client environments. You will analyse client requirements and help generate suitable recommendations. You will help managethe ML lifecycle fromdata selection and collection, ML model design and creation all the way through tooperationalizationand monitoring. You will work closely with data scientists and senior MLOps Engineers to understand and implement models into production. At Data Reply, you\’ll enjoy extensive training opportunities coupled with a detailed learning pathto guide you along the way.You\’ll thrive in our diverse and vibrant work environment andwill be surrounded bypeerswho share your passion fordata and technology. As a graduate at Reply, you will get involved inHackathons, Code Challenges or Labcamps as well as our graduate learning programme. As a Data Reply consultant, you will love the opportunity to work on projects with some of the world\’s leading brands. Responsibilities: Work closely with the Data Science team to introduce automation and governance in their machine learning pipelines Manage the infrastructure and orchestration pipelines needed to automatically train and bring machine learning models to production Implement solutions to monitorthe performance of Machine Learning models in production over time Work in teams with other technical experts, e.g. Data Engineers, Data scientists, MLOps Engineers, Data Visualization Specialists Interact with domain experts from different industries to understand and tackle challenging problems Explore and understand client datain relation to the problem you\’re tackling andcommunicate findings to clients and stakeholders About the candidate: A minimum 2.1 Bachelor\’s degree in Engineering/Computer Science is required. The ideal candidatewill have a Bachelor\’s degree in Engineering/Computer Science and a Master\’s degree in Data Science or Artificial Intelligence Excellent communications skills; an ability to communicate with impact, ensuring complex information is articulated in a meaningful way to wide and varied audiences You have an excellent understanding of key concepts in computer science (e.g. databases, software engineering practices, cloud computing – especially AWS) and data science (e.g. machine learning process) Excellent knowledge of Python includingPytorch, Tensorflow andSKLearn as well as initial knowledge of LangChain andRAGAS. Familiarity with CI/CD workflows is required and experience with containerisation and deployment using Docker/Kubernetes will be considered a plus 1 year experience working in relevant role (training, evaluating and deploying Machine learning models) You can demonstrate a growth mindset in terms ofpicking up new challenges and transforming them in an opportunity to learn Flexibility regarding business travelling and positiveattitude towards working across different client projects Reply is an Equal Opportunities Employer and committed to embracing diversity in the workplace. We provide equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type regardless of age, sexual orientation, gender, identity, pregnancy, religion, nationality, ethnic origin, disability, medical history, skin colour, marital status or parental status or any other characteristic protected by the Law. Reply is committed to making sure that our selection methods are fair to everyone. To help you during the recruitment process, please let us know of any Reasonable Adjustments you may need.

AI and Machine LearningEngineer - - Reply employer: Reply

At Data Reply, we pride ourselves on being a leading employer in the AI and Machine Learning sector, offering a vibrant and inclusive work culture that fosters innovation and collaboration. Our commitment to employee growth is evident through extensive training opportunities, engaging projects with top-tier clients, and initiatives like Hackathons and Labcamps, all set against the backdrop of our dynamic office environment. Join us in London, where your passion for data and technology will be nurtured, and your contributions will directly impact the success of our clients.
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Contact Detail:

Reply Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land AI and Machine LearningEngineer - - Reply

✨Tip Number 1

Familiarise yourself with the specific technologies mentioned in the job description, such as Python, Pytorch, Tensorflow, and AWS. Having hands-on experience or projects that showcase your skills in these areas can significantly boost your chances.

✨Tip Number 2

Engage with the data science community by participating in relevant forums, attending meetups, or joining online groups. Networking with professionals in the field can provide insights into the company culture and potentially lead to referrals.

✨Tip Number 3

Prepare to discuss your previous experiences with machine learning models during interviews. Be ready to explain your thought process, challenges faced, and how you overcame them, as this will demonstrate your problem-solving abilities.

✨Tip Number 4

Showcase your adaptability and willingness to learn new technologies. Highlight any instances where you've successfully picked up new skills or tackled unfamiliar challenges, as this aligns with the growth mindset they are looking for.

We think you need these skills to ace AI and Machine LearningEngineer - - Reply

Machine Learning Process
Data Analysis
Python Programming
PyTorch
TensorFlow
Scikit-Learn (SKLearn)
LangChain
RAGAS
Cloud Computing (AWS)
CI/CD Workflows
Docker
Kubernetes
Data Pipeline Management
Automation and Governance in ML Pipelines
Performance Monitoring of ML Models
Communication Skills
Collaboration with Technical Experts
Problem-Solving Skills
Growth Mindset
Flexibility for Business Travel

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the AI and Machine Learning Engineer role. Emphasise your knowledge of Python, machine learning processes, and any experience with AWS or CI/CD workflows.

Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data and technology. Mention specific projects or experiences that demonstrate your ability to work in teams and tackle complex problems, as well as your growth mindset.

Showcase Relevant Projects: If you have worked on any relevant projects, either during your studies or in previous roles, be sure to include them in your application. Highlight your contributions, the technologies used, and the outcomes achieved.

Prepare for Technical Questions: Anticipate technical questions related to machine learning, Python, and cloud computing during the interview process. Brush up on key concepts and be ready to discuss how you've applied them in real-world scenarios.

How to prepare for a job interview at Reply

✨Showcase Your Technical Skills

Be prepared to discuss your experience with Python, Pytorch, Tensorflow, and SKLearn. Bring examples of projects where you've implemented machine learning models, and be ready to explain your thought process and the challenges you faced.

✨Understand the Company’s Focus

Research Data Reply's work in AI and machine learning, especially their use of AWS cloud solutions. Demonstrating knowledge about their projects and how you can contribute will show your genuine interest in the role.

✨Communicate Clearly

Since excellent communication skills are essential for this role, practice explaining complex technical concepts in simple terms. This will help you connect with interviewers who may not have a technical background.

✨Demonstrate a Growth Mindset

Be ready to discuss how you've tackled new challenges in the past and what you've learned from them. Highlighting your adaptability and willingness to learn will resonate well with the interviewers.

AI and Machine LearningEngineer - - Reply
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  • AI and Machine LearningEngineer - - Reply

    London
    Full-Time
    30000 - 50000 £ / year (est.)

    Application deadline: 2027-08-31

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