Machine Learning Engineer

Company Description

Mobica | Be Extraordinary_ 

We are Mobica, a global software services company headquartered in Manchester, UK, with offices across Europe and the USA. We partner with businesses across multiple industries, from aerospace to finance and semiconductors to automotive, providing them with access to engineering expertise across the entire technology stack.

The Mobica Way

• Well-known Clients and Projects focused on the Technologies of Tomorrow - Our expertly crafted software underpins many of today’s amazing customer experiences. We work with well-known global brands to develop widely used tech. When you join us, you'll be both challenged and supported, and you'll be a part of something extraordinary. 

• Empowered Mobicans driving their Careers - We empower our people to develop their skills, push boundaries and move towards new heights. As a Mobican, you’ll have ample opportunities to advance, learn and grow towards your desired career outcomes.

• Ideas are prioritised over Hierarchy and Biases - In Mobica, you are listened to and valued. We’ve built an environment that fosters open communication. We've made it our mission to ensure all team members feel welcome, protected from discrimination and have access to equal opportunities. 

We believe that employees should be happy - At Mobica, you can define precisely how you would like to work - at home or in the office - we will create the environment for that. You’ll get access to various virtual, offline and on-site events and platforms where you can learn, brainstorm, challenge, express yourself or simply have some fun and make new friends. 

Job Description

As a Machine Learning Engineer, you will play a crucial role in designing, developing, and deploying cutting-edge machine learning solutions. Your work will impact millions of users, specifically in the field of natural language processing (NLP), cloud-based applications, and deep learning.

Key responsibilities:

• Design and develop machine learning models, algorithms, and systems
• Implement appropriate ML algorithms for tasks such as NLP, recommendation systems, and computer vision
• Conduct experiments and analyze data to improve model performance
• Optimize algorithms for scalability, efficiency, and accuracy
• Collaborate with cross-functional teams, including data scientists, software engineers, and domain experts
• Stay up-to-date with the latest advancements in machine learning and AI
• Leverage cloud services (such as Azure, AWS, or Google Cloud) for model deployment and scalability
• Explore and apply GenAI techniques to enhance model capabilities

Qualifications

Must have:

• Bachelor’s or master’s degree in computer science, data science, or a related field
• Strong programming skills in languages like Python or R
• Proficiency in machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn)
• Experience with NLP techniques, including text classification, sentiment analysis, and named entity recognition
• Knowledge of deep learning architectures (e.g., CNNs, RNNs, Transformers).
• Familiarity with cloud platforms and services
• Excellent problem-solving abilities and analytical thinking
• Good command of English

Nice to have:

• Contributions to open-source projects or research publications
• Experience with distributed computing and big data frameworks
• Certifications related to machine learning or cloud platforms

Additional Information

What you can expect from us?

• Learning by doing – you will work with industry experts who are willing to share their knowledge and experience
• Improving your skills by participating in training and mentoring programs
• Advancing your career by choosing from different career paths (technical, management)
• Broadening your horizons by working in an open and supportive multicultural environment
• Commercial projects from the domain
• Great atmosphere and supportive environment
• Working in a friendly and relaxed atmosphere created by a lot of bonding events and activities

What do we offer?

• Competitive salary adequate to your skills and performance
• Flexible working hours
• Training programs
• Private medical insurance
• Multisport program
• English lessons
• Company social events
• Weekly cakes and fruits
• Relocation assistance