Netrolynx AI
Machine Learning Engineer

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About The Company
Client Server is a leading technology recruitment consultancy specializing in connecting innovative companies with top-tier tech talent. Renowned for its commitment to excellence and a strong network of industry professionals, Client Server has established itself as a trusted partner in the technology sector. The company prides itself on fostering a collaborative environment that emphasizes diversity, inclusion, and continuous professional development. With a broad portfolio of clients spanning various industries, Client Server is dedicated to delivering tailored recruitment solutions that meet the evolving needs of its partners and candidates alike.
About The Role
We are seeking a highly skilled Senior Machine Learning Engineer with expertise in Python, AWS, and MLOps to join our client's dynamic team remotely within the UK. In this senior role, you will be instrumental in designing, developing, and deploying machine learning models that directly impact the company's core insurance underwriting and pricing systems. You will work closely with data scientists and software engineers in an agile environment, contributing to the development of scalable, reliable, and efficient ML solutions. The role offers the opportunity to lead greenfield projects focused on forecasting and pricing, while also mentoring junior team members and influencing technical decisions across the organization.
Qualifications
The ideal candidate will possess a strong technical background with the following qualifications:
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I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
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StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
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Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
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- Proven experience as a Machine Learning Engineer, with a focus on deploying models into production environments.
- Advanced proficiency in Python programming, including experience with relevant libraries and frameworks.
- Extensive knowledge of AWS services related to machine learning and data processing.
- Solid understanding of modern software engineering practices such as microservices architecture, TDD, DDD, and design patterns.
- Experience with data management tools like Databricks, PostgreSQL, Amazon RedShift, or MLflow is advantageous but not mandatory.
- Strong problem-solving skills and the ability to work collaboratively within cross-functional teams.
- Excellent communication skills, with the ability to articulate complex technical concepts clearly.
Responsibilities
As a Senior Machine Learning Engineer, your key responsibilities will include:
- Designing, developing, and deploying machine learning models that enhance insurance underwriting and pricing capabilities.
- Collaborating with data scientists to translate research prototypes into scalable production solutions.
- Implementing MLOps best practices to ensure models are reliable, maintainable, and scalable.
- Participating in data exploration, feature engineering, and model evaluation to optimize performance.
- Contributing to the development of data pipelines and infrastructure to support ML workflows.
- Mentoring junior team members and sharing best practices to foster a culture of continuous learning.
- Engaging in technical discussions to influence project direction and technical strategies.
- Staying updated with the latest advancements in machine learning, AI, and cloud technologies.


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Benefits
Joining this organization as a Senior Machine Learning Engineer offers a competitive and comprehensive benefits package, including:
- Salary up to £105,000, commensurate with experience and skills.
- Flexible remote working arrangements and adaptable working hours.
- Workplace nursery scheme to support working parents.
- Enhanced maternity and paternity packages.
- Generous holiday allowance of 25 days, with options to buy or sell additional days, plus an extra "duvet day" annually.
- Comprehensive pension scheme, private medical and dental insurance, and life assurance.
- Wellness initiatives including weekly yoga sessions, monthly acupuncture, and Headspace mindfulness membership.
- Participation in employee support networks promoting diversity and inclusion.
- Additional perks such as Perkbox benefits, cycle-to-work schemes, and season ticket loans.
Equal Opportunity
Client Server is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, gender, age, sexual orientation, disability, religion, or any other protected characteristic. We believe that a diverse workforce fosters innovation and drives success, and we are dedicated to providing equal employment opportunities to all applicants and employees.
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