AI Specialist

BJSS
Manchester
8 months ago
Applications closed

Related Jobs

View all jobs

Gen AI Developer (SC Clearance required)

Principal AI Scientist - Zurich Start-up, Remote/Zurich

AI Consultant

AI Consultant

AI Consultant

AI Consultant

About the Role

We are strengthening our AI offering and are looking for an AI specialist to help businesses use artificial intelligence (AI) by understanding their needs, designing AI solutions, and implementing those solutions. BJSS AI specialists have expertise in machine learning, natural language processing, and other AI technologies. The successful candidate will provide:

Expertise in machine learning, natural language processing, and other AI technologies: possess in-depth knowledge and hands-on experience in machine learning, natural language processing (NLP), and other relevant AI technologies. Be familiar with various algorithms, frameworks, and tools used in these areas, including cloud-based AI services. This expertise enables to design, develop, and implement AI solutions effectively.Strong problem-solving and analytical skills:ability to tackle complex business challenges and devise sustainable AI architectures accordingly. Be able to analyse data, identify patterns, and extract meaningful insights to address specific problems or improve business processes using AI techniques.Ability to work with businesses to understand their needs and develop AI solutions: Be able to engage with clients, understand their business requirements, and translate those needs into AI solutions. This involves conducting thorough assessments, gathering and analysing relevant data, and proposing tailored AI approaches to address specific business goals.Excellent communication and presentation skills:Effective communication is crucial for an AI specialist as you will be required to articulate complex concepts and technical details in a clear and concise manner. Be able to explain AI concepts to both technical and non-technical stakeholders, making it accessible and understandable to all. Additionally, strong presentation skills are essential for delivering engaging and persuasive presentations to clients and internal teams.Ability to work independently and as part of a team:Be self-motivated and capable of working independently, taking ownership of projects and driving them to completion. At the same time, be a team player, collaborating effectively with cross-functional teams, other data specialists, and business stakeholders to ensure the successful implementation of AI solutions. This requires good interpersonal skills, adaptability, and a cooperative mindset.Drive innovation and knowledge sharing internally: Keep team updated on AI tech, curate info, share best practices, research, lead training sessions, workshops, and events. Foster continuous learning.

About You

You are empathetic, passionate and have a love of sharing with others. You enjoy working in a team and care passionately for others’ well-being.

You have developed a strong reputation as a data scientist and will have successfully delivered significant value in the industry through data science solutions. You are a doer, you love to tackle the hardest of challenges and have no problem opening a notebook or a code editor.

You do your best to stay abreast of the latest changes in data science and the fact that you find it impossible only enhances your passion for data science.

Some of the Perks

Flexible benefits allowance – you choose how to spend your allowance (additional pension contributions, healthcare, dental and more) Industry leading health and wellbeing plan - we partner with several wellbeing support functions to cater to each individual's need, including 24/7 GP services, mental health support, and other Life Assurance (4 x annual salary) 25 days annual leave plus bank holidays Hybrid working - Our roles are not fully remote as we take pride in the tight knit communities we have created at our local offices. But we offer plenty of flexibility and you can split your time between the office, client site and WFH Discounts – we have preferred rates from dozens of retail, lifestyle, and utility brands An industry-leading referral scheme with no limits on the number of referrals  Flexible holiday buy/sell option Electric vehicle scheme Training opportunities and incentives – we support professional certifications across engineering and non-engineering roles, including unlimited access to O’Reilly Giving back – the ability to get involved nationally and regionally with partnerships to get people from diverse backgrounds into tech You will become part of a squad with people from different areas within the business who will help you grow at BJSS We have a busy social calendar that you can choose to join– quarterly town halls/squad nights out/weekends away with families included/office get togethers GymFlex gym membership programme

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Careers

Navigating Machine Learning Career Fairs Like a Pro: Preparing Your Pitch, Questions to Ask, and Follow-Up Strategies to Stand Out

Machine learning (ML) has swiftly become one of the most in-demand skill areas across industries, with companies leveraging predictive models and data-driven insights to solve challenges in healthcare, finance, retail, manufacturing, and beyond. Whether you’re an early-career data scientist aiming to break into ML, a seasoned engineer branching into deep learning, or a product manager exploring AI-driven solutions, machine learning career fairs offer a powerful route to connect with prospective employers face-to-face. Attending these events can help you: Network with hiring managers and technical leads who make direct recruitment decisions. Gain insider insights on the latest ML trends and tools. Learn about emerging job roles and new industry verticals adopting machine learning. Showcase your interpersonal and communication skills, both of which are increasingly important in collaborative AI/ML environments. However, with many applicants vying for attention in a bustling hall, standing out isn’t always easy. In this detailed guide, we’ll walk you through how to prepare meticulously, pitch yourself confidently, ask relevant questions, and follow up effectively to land the machine learning opportunity that aligns with your ambitions.

Jobs

Common Pitfalls Machine Learning Job Seekers Face and How to Avoid Them

Machine learning has emerged as one of the most sought-after fields in technology, with companies across industries—from retail and healthcare to finance and manufacturing—embracing data-driven solutions at an unprecedented pace. In the UK, the demand for skilled ML professionals continues to soar, and opportunities in this domain are abundant. Yet, amid this growing market, competition for machine learning jobs can be fierce. Prospective employers set a high bar: they seek candidates with not just theoretical understanding, but also strong practical skills, business sense, and an aptitude for effective communication. Whether you’re a recent graduate, a data scientist transitioning into machine learning, or a seasoned developer pivoting your career, it’s essential to avoid common mistakes that may hinder your prospects. This blog post explores the pitfalls frequently encountered by machine learning job seekers, and offers actionable guidance on how to steer clear of them. If you’re looking for roles in this thriving sector, don’t forget to check out Machine Learning Jobs for the latest vacancies across the UK. In this article, we’ll break down these pitfalls to help you refine your approach in applications, interviews, and career development. By taking on board these insights, you can significantly enhance your employability, stand out from the competition, and secure a rewarding position in the world of machine learning.

Careers

Career Paths in Machine Learning: From Entry-Level Roles to Leadership and Beyond

Machine learning has rapidly transformed from an academic pursuit to a cornerstone of modern technology, fueling innovations in healthcare, finance, retail, cybersecurity, and virtually every industry imaginable. From predictive analytics and computer vision to deep learning models that power personalisation algorithms, machine learning (ML) is reshaping business strategies and creating new economic opportunities. As demand for ML expertise continues to outstrip supply, the UK has become a vibrant hub for machine learning research, entrepreneurship, and corporate adoption. Whether you’re just starting out or have experience in data science, software development, or adjacent fields, there has never been a better time to pursue a career in machine learning. In this article, we will explore: The growing importance of machine learning in the UK Entry-level roles that can kick-start your ML career The skills and qualifications you’ll need to succeed Mid-level and advanced positions, including leadership tracks Tips for job seekers on www.machinelearningjobs.co.uk By the end, you’ll have a clear view of how to build, grow, and lead in one of the most exciting fields in modern technology.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.