Machine Learning Engineer
This is a Permanent, Full Time vacancy that will close in {x} days at {xx:xx} BST.
The Role
We are seeking a skilled Machine Learning Engineer to join our team in Skipton. The ideal
candidate will have a proven track record in developing and deploying machine learning
models, with a solid background in programming and data analysis.
You’ll be joining an established environmental and engineering consultancy who put sustainability and resilience to climate change at the heart of our company strategy. With offices in nine countries around the world and across the UK and Ireland, we like to think we make a difference. We are independent and employee-owned allowing us the freedom to focus on innovation and our commitment to exceptional client service. Our workforce is central to our success, and we invest heavily in supporting staff development. We are great people to work for. Visit https://www.jbarisk.com/ to find out more about what we do.
Your role
We have a vacancy for a ML Engineer to join our team. You will be responsible for:
-Develop and implement machine learning models for various projects
-Handle data pre-processing tasks such as data cleaning, transformation,
normalization, and feature engineering to prepare data for model training.
-Analyse data and identify patterns to improve model accuracy
-Collaborate with cross-functional teams to develop and deploy models
-Stay up to date with the latest developments in machine learning and artificial
intelligence
The team member we’re looking for
We are seeking a candidate who aligns well with our company values. We prioritize individuals who take responsibility, foster trust, and demonstrate innovation. We value diversity and offer a supportive, challenging environment dedicated to consistently delivering high-quality, meaningful work.
Qualifications
Bachelor’s or master’s degree in computer science, Mathematics, or a related field
Essential attributes for the role
-Strong foundation in machine learning algorithms, statistics, and data structures
-Proficiency in programming languages and frameworks (Python, TensorFlow, PyTorch)
-Experience with data pre-processing, feature engineering, and model evaluation techniques
-Familiarity with data analysis and visualization tools (Pandas, Matplotlib)
-Willingness to stay up to date with the latest ML and AI developments
-Strong problem-solving skills
-Excellent communication and collaboration skills
-Accountability and reliability in delivering results
Desirable attributes for the role
-Experience developing embedded ML applications (C++, CUDA, TensorRT)
-Ability to work within Agile frameworks, prioritizing tasks and delivering efficiently
-Respect for diversity and contribution to an inclusive work environment
-Openness to experimenting with new ideas and technologies
-Ability to convey complex technical information to non-technical stakeholders
Location and contact
JBA supports hybrid working which provides for greater flexibility with the way that we work.
This full-time role will be located in our modern, eco-friendly offices at Broughton Park, near Skipton, North Yorkshire. You will need to be in the Skipton office a minimum of 2 days a week, but our hybrid working approach offers a balance of working both from home and in the office.
The unique work setting of JBA’s office means you will be working on the boundary of the Yorkshire Dales National Park with easy access to stunning countryside. Skipton is a bustling market town with great schools, services and leisure facilities, and is within easy reach of Leeds, Bradford, Manchester and the Lake District. Find out more at https://www.welcometoskipton.com.
For further information or an informal discussion about this position, please contact Dr Nora Horanyi on nora.horanyi@jbarisk.com
Please complete the application form as much as possible, CV's may not always be referred to during the initial shortlisting stage.
For further information or an informal discussion about this position, please contact Nora Horanyi on nora.horanyi@jbarisk.com
The JBA Family
The JBA Group is a family of environmental, engineering and risk management companies committed to exceptional service and helping clients and communities build resilience to flood and environmental risk in a changing climate. We're leading the way to integrate science and technology to provide our clients with a forward-thinking view of climate resilience.
We can only do this through our fantastic team, and we believe in providing a competitive salary, flexible working conditions and the best benefits package we can. We’re an employee-owned organisation and have no external shareholders to pay, meaning all our staff benefit directly from our profits through our annual Employee-Owned Benefit scheme.
Alongside this, we’re focused on helping our staff develop their skills and offer a generous training budget to every member of staff, as well as a professional development programme and support in the attainment of professional qualifications including chartered membership.
We invest in our staff’s mental health and wellbeing, encouraging our staff to maintain a healthy work-life balance and organising social activities from bake sales and book clubs to badminton. We also invest in the wider community by funding our own charitable foundation, the JBA Trust, supporting sustainability initiatives such as tree planting, and facilitating outreach visits by our team of STEM ambassadors.
JBA is committed to creating and sustaining a working environment in which everyone has an equal opportunity to fulfil their potential and we welcome applications from suitably qualified people from all sections of the community. All roles will be considered for part-time or flexible working, and we encourage applications from candidates who may be returning to work after a career break for any reason, or who are looking to change industry.
No unsolicited CVs from Agencies. All Agencies should note that if JBA receives an application via other means - even if it comes after your first contact with us - there will be no contractual entitlement to an introduction fee or other fees. In sending us any applications you are deemed to have agreed to these terms.
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