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- Tasks: Join a dynamic team as a Technical Solutions Engineer, bridging business needs with AI solutions.
- Company: Be part of a well-funded AI firm in Manchester, thriving and expanding rapidly.
- Benefits: Enjoy remote work options, strong share packages, and unlimited holidays.
- Why this job: This role offers growth opportunities in a vibrant start-up culture focused on innovation.
- Qualifications: Experience with Python, AI/ML models, and CI/CD practices is essential.
- Other info: Work just one day a week in the office, located near Piccadilly.
The predicted salary is between 36000 - 60000 £ per year.
1 day ago Be among the first 25 applicants
This range is provided by NearTech Search. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
Direct message the job poster from NearTech Search
Multilingual Senior Recruitment Consultant | Machine Learning | NLP | LLM | MLOps
Solutions Engineer – Manchester – 1 day a week in office – £45,000 – £65,000 + Share Options
I\’m working with a well-funded AI firm based within Manchester expanding their Data and AI division. The firm has been going for a few years and is run by really astute individuals who have successfully exited firms previously.
Thanks to the success of their key AI solution, the firm have genuinely gone from strength to strength, growing to a team of 35+ and looking to increase by over 50% in the coming 18-24-months.
As part of this journey, they are now looking for a new Solution Engineers to join them in their Manchester offices once a week. They\’re located close to Piccadilly, so ideal whether you\’re based in the city centre or commuting in.
Within the role, you\’ll be acting as the key conduit between business and client. You\’ll take complicated requirements, determine how AI can help address issues (and solve them), offer expert advice and importantly create the solutions bespoke to that need.
This isn\’t an out-and-out MLE position, it will involve elements of stakeholder engagement, ML Modelling, practical demonstrations to increase accuracy and decrease false-positives / negatives etc and is generally quite a broad role with ample opportunities for future progression.
Key responsibilities:
- Understand the requirements for new clients and configure solutions
- Work with the broader team to direct what new / changes are required to provide the foundation of a ML solution
- Work to flesh-out a model – adding logic, enhancements, and / or information to improve performance
- Test the overall solution to see how it performs
Key experience:
- Python (NumPy / OpenCV) / PyTorch / TensorFlow
- Good understanding of AI / ML Models (DeepLearning / Computer Vision)
- CI/CD
- TDD
Why join them:
- Be part of a thriving, well-funded start up – more than typical routes for growth / progression
- Remote working – 1 day a week in office
- Strong Share / Stock package
- Unlimited holidays
For more information, apply or email me on david@neartechsearch.com
Unfortunately this role cannot provide visa sponsorship
Seniority level
-
Seniority level
Not Applicable
Employment type
-
Employment type
Full-time
Job function
-
Job function
Information Technology
-
Industries
Technology, Information and Media
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Technical Solutions Engineer employer: NearTech Search
Contact Detail:
NearTech Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Technical Solutions Engineer
✨Tip Number 1
Familiarise yourself with the specific AI and ML technologies mentioned in the job description, such as Python, NumPy, OpenCV, PyTorch, and TensorFlow. Having hands-on experience or projects showcasing these skills can set you apart during discussions.
✨Tip Number 2
Prepare to discuss your experience with stakeholder engagement and how you've translated complex requirements into actionable solutions. This role emphasises communication, so be ready to share examples of how you've successfully collaborated with clients or teams.
✨Tip Number 3
Research the company’s recent projects and successes in the AI field. Being knowledgeable about their key AI solutions will not only impress your interviewers but also help you articulate how you can contribute to their ongoing success.
✨Tip Number 4
Show enthusiasm for the company's growth trajectory and culture. Expressing your excitement about being part of a thriving start-up and your willingness to adapt and grow with the team can resonate well with the hiring managers.
We think you need these skills to ace Technical Solutions Engineer
Some tips for your application 🫡
Understand the Role: Read the job description thoroughly to grasp the key responsibilities and required skills. Highlight your experience with Python, AI/ML models, and stakeholder engagement in your application.
Tailor Your CV: Customise your CV to reflect the specific skills and experiences that align with the Technical Solutions Engineer role. Emphasise your proficiency in Python, NumPy, OpenCV, and any relevant projects you've worked on.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and your understanding of the company's mission. Mention how your background makes you a perfect fit for the role and express your enthusiasm for contributing to their growth.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism.
How to prepare for a job interview at NearTech Search
✨Understand the Role
Before the interview, make sure you have a solid grasp of what a Technical Solutions Engineer does. Familiarise yourself with the key responsibilities mentioned in the job description, such as configuring solutions and engaging with stakeholders.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, AI/ML models, and any relevant frameworks like PyTorch or TensorFlow. Consider bringing examples of past projects where you've successfully implemented these technologies.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving abilities. Think about how you would approach complex client requirements and how AI can be leveraged to address them. Practising these scenarios can help you articulate your thought process clearly.
✨Demonstrate Communication Skills
As a conduit between business and clients, strong communication is key. Be ready to explain technical concepts in layman's terms and show how you can effectively engage with both technical and non-technical stakeholders.
