Businesses Jobs .com

Technology - Machine Learning | Job in Greater Manchester

We are seeking a dynamic and innovative Machine Learning Engineer to join our technology team in the North West region. This is an exceptional opportunity for a passionate professional to contribute to groundbreaking work in the field of Artificial Intelligence (AI) and Machine Learning (ML). In this role, you will be responsible for designing, developing, and deploying machine learning models that drive business value and create meaningful impact on our products and services. You will work closely with cross-functional teams to understand business requirements, translate them into machine learning problems, and apply appropriate ML techniques to deliver scalable solutions. Key Responsibilities:

  • Design, develop, and deploy machine learning models using industry-standard tools and libraries such as TensorFlow, PyTorch, Scikit-learn, etc.
  • Collaborate with data scientists, software engineers, and product managers to understand business requirements and translate them into technical solutions.
  • Conduct exploratory data analysis and feature engineering to prepare data for machine learning models.
  • Optimize models for accuracy, speed, and resource efficiency.
  • Implement machine learning models in production environments using various deployment strategies.
  • Stay abreast of the latest trends and developments in ML, AI, and related fields, and apply this knowledge to improve our models and processes.
  • Contribute to the continuous improvement of our machine learning infrastructure, tools, and practices. Qualifications:
  • Degree in Computer Science, Mathematics, Statistics, Engineering, or a related field. Advanced degree preferred.
  • Proven experience in machine learning with a strong focus on practical implementation.
  • Proficiency in Python, TensorFlow, PyTorch, Scikit-learn, or similar libraries.
  • Strong understanding of machine learning algorithms, deep learning architectures, and their applications.
  • Experience in deploying machine learning models to production environments.
  • Excellent problem-solving skills with the ability to work on complex, open-ended problems.
  • Strong collaboration and communication skills with the ability to effectively work with cross-functional teams.
  • Self-motivated and able to take ownership of projects from concept through delivery. Join our team and make a significant impact in the field of machine learning while working on cutting-edge technologies. We offer a supportive work environment, opportunities for professional growth, and competitive compensation and benefits packages. We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Job Summary

We are seeking a dynamic and innovative Machine Learning Engineer to join our forward-thinking team in the North West region. In this role, you will be at the forefront of our organization's efforts to leverage machine learning technologies for driving business growth and innovation.

*Responsibilities: *

  • Collaborate with cross-functional teams to design, develop, and deploy ML models that address real-world business problems.
  • Continuously evaluate and improve existing machine learning systems, ensuring their efficiency and scalability.
  • Apply your expertise in machine learning algorithms, deep learning, and neural networks to create cutting-edge solutions for various industry applications.
  • Collaborate with data scientists, engineers, and other stakeholders to design and implement end-to-end machine learning workflows that are both accurate and performant.
  • Stay abreast of the latest trends and developments in the field of machine learning, and share your knowledge with the team to keep our organization on the leading edge.
  • Contribute to a culture of continuous improvement by helping to develop best practices for machine learning design, implementation, and maintenance.
  • Support and mentor junior engineers as needed, fostering an environment of collaboration and knowledge-sharing within the team.

*Qualifications: *

  • A degree in Computer Science, Mathematics, Statistics, Engineering, or a related field with a strong emphasis on machine learning.
  • Proven experience in developing and deploying machine learning models for real-world applications.
  • Strong knowledge of various machine learning algorithms, deep learning techniques, and neural networks.
  • Proficiency in popular machine learning libraries such as TensorFlow, PyTorch, Scikit-learn, or Keras.
  • Experience with cloud platforms (e.g., AWS, Google Cloud Platform, Azure) and their machine learning services.
  • Excellent problem-solving skills with the ability to handle complex, ambiguous problems and drive them to resolution.
  • Strong communication skills with the ability to collaborate effectively with diverse teams and stakeholders.
  • A passion for staying current with the latest research and trends in machine learning, and a willingness to continuously learn and adapt to new technologies. Join our team and take your machine learning career to the next level! We offer competitive compensation, comprehensive benefits, and opportunities for professional growth. If you're ready to make an impact on real-world problems with machine learning, apply today!

Skill Set

In the Technology - Machine Learning role within our team we seek an exceptional professional with a robust skill set in artificial intelligence, machine learning, and data science. Here are some of the key abilities and qualifications that will help you excel in this position:

*Machine Learning Algorithms

  • : Proficiency in various machine learning algorithms such as linear regression, logistic regression, decision trees, random forests, support vector machines (SVM), k-nearest neighbors (KNN), and neural networks.
  • *Deep Learning
  • : Experience with deep learning frameworks like TensorFlow, PyTorch, or Keras for building and training large neural networks.
  • *Natural Language Processing (NLP)
  • : Familiarity with NLP techniques such as tokenization, part-of-speech tagging, named entity recognition, sentiment analysis, and text generation.
  • *Big Data Tools
  • : Knowledge of big data processing tools like Apache Hadoop, Apache Spark, or Apache Flink for handling massive amounts of data.
  • *Programming Languages
  • : Proficiency in programming languages such as Python, R, Java, or Scala with a strong understanding of object-oriented programming concepts.
  • *Databases and SQL
  • : Experience working with relational databases (SQL) and NoSQL databases like MongoDB, Redis, or Cassandra to store and manage data.
  • *Problem-solving abilities
  • : Ability to analyze complex problems, design effective solutions, and implement them using machine learning algorithms.
  • *Communication skills
  • : Excellent verbal and written communication skills for collaborating with team members, presenting findings, and documenting code.
  • *Adaptability
  • : Flexibility in adapting to new technologies and methodologies as they evolve within the field of machine learning.
  • *Collaboration
  • : Strong collaboration skills to work effectively within cross-functional teams and contribute to the overall success of projects.
  • *Curiosity and Continuous Learning
  • : A passion for staying current with the latest advancements in machine learning, AI, and data science, as well as a desire to continuously learn and improve your skills.

Job Routine

In this role as a Machine Learning Specialist within our organization in the North West region, your day-to-day activities will be primarily focused on leveraging advanced machine learning techniques to drive business growth and innovation. Here's an overview of what you can expect from a typical workday:

*Data Analysis

  • : You will begin your day by analyzing large datasets to identify patterns, trends, and insights that could impact our business decisions. This may involve using various machine learning algorithms such as regression, clustering, or neural networks.
  • *Model Development
  • : Based on the insights gained from data analysis, you will develop and train machine learning models for specific use cases. These models could be used for a variety of purposes, such as predicting customer behavior, optimizing business processes, or improving product recommendations.
  • *Model Validation and Optimization
  • : After developing a model, it is crucial to validate its performance and optimize it for better accuracy and efficiency. This may involve tuning hyperparameters, selecting the most appropriate machine learning algorithm, or employing techniques like cross-validation.
  • *Collaborative Work
  • : You will work closely with our data science team, as well as other departments such as marketing, sales, and product development, to integrate your models into our business operations. This collaboration ensures that your work has a direct impact on the success of our organization.
  • *Staying Current
  • : To remain at the forefront of machine learning research and developments, you will allocate time each day to read relevant articles, attend industry webinars, and network with other professionals in the field. This continuous learning is essential for maintaining a competitive edge and ensuring your skills stay up-to-date.
  • *Project Management
  • : Throughout your workday, you will manage multiple machine learning projects simultaneously, balancing their priorities based on business needs and deadlines. This may involve creating timelines, allocating resources, and reporting progress to stakeholders.
  • *Experimentation and Iteration
  • : Machine learning is a field that requires constant experimentation and iteration. You will have the opportunity to explore new machine learning techniques, tools, and frameworks to improve our organization's capabilities in this area.
  • *Documentation and Knowledge Sharing
  • : It is essential to document your work and share your knowledge with other team members. This may involve creating technical documentation, giving presentations, or mentoring less experienced machine learning professionals within the organization. By joining our team as a Machine Learning Specialist in the North West region, you will have the opportunity to make a significant impact on our business while working alongside some of the brightest minds in the field. We look forward to reviewing your application and discussing this exciting role further with you.

Company Overview

*Location *

: North West, United Kingdom

*Industry *

: Technology and Machine Learning

*About Us *

We are a forward-thinking technology organisation based in the vibrant North West region, specialising in cutting-edge Machine Learning (ML) solutions. Our team is composed of passionate and innovative professionals who are dedicated to driving advancements in AI and ML technologies. Our mission is to leverage machine learning to create meaningful impact across various industries, from healthcare to finance and beyond. We strive to empower businesses by providing them with intelligent tools that enhance decision-making processes and drive growth. At our core we value collaboration, continuous learning, and the pursuit of excellence. Our inclusive work environment encourages creativity and offers ample opportunities for professional development. As part of our team, you will join a diverse group of individuals who share a common passion for technology and machine learning. We invite candidates who are excited about pushing the boundaries of what is possible in ML to apply for this role. Together we can shape the future of artificial intelligence and make a lasting impact on the world.

Offered Benefits

As a valued member of our Technology - Machine Learning team we are committed to offering a comprehensive benefits package designed to support your professional growth and personal well-being. Here's an overview of the benefits you can expect:

*Competitive Salary

  • : We offer competitive salaries benchmarked against industry standards to ensure that our team members are fairly compensated for their hard work and contributions.
  • *Comprehensive Health Coverage
  • : Our organization provides a range of health plans, including medical, dental, and vision insurance, to ensure you and your family receive the care you need when you need it.
  • *Retirement Savings Plan
  • : We believe in helping our team members plan for their future by offering a robust retirement savings plan with matching contributions to help boost your savings.
  • *Paid Time Off (PTO)
  • : To ensure work-life balance we provide ample paid time off, including vacation days, sick leave, and company holidays.
  • *Flexible Work Schedule
  • : We understand the importance of flexibility in today's world. Our team members can enjoy a flexible work schedule to accommodate their personal needs.
  • *Continuing Education & Training
  • : We encourage lifelong learning by providing opportunities for continuing education, training programs, and workshops related to your role as a Machine Learning specialist.
  • *Mentorship Program
  • : Our mentorship program pairs you with experienced professionals in the field who can guide you through your career journey and help you grow professionally.
  • *Conference & Event Attendance
  • : We support our team members' growth by covering attendance costs for relevant conferences, workshops, and industry events.
  • *Team Building Activities
  • : We believe that strong teams are built on collaboration and camaraderie. Our organization regularly organizes team-building activities to foster a sense of community among our team members.
  • *State-of-the-art Facilities
  • : Our offices are equipped with the latest technology and tools, ensuring that you have everything you need to perform your job effectively and efficiently.
  • *Collaborative & Inclusive Culture
  • : We foster a collaborative and inclusive work environment where diverse ideas are valued and respected.
  • *Work-Life Balance
  • : We understand the importance of maintaining a healthy work-life balance, and our team members' wellbeing is always a priority. Join our Technology - Machine Learning team today and embark on an exciting journey filled with growth, learning, and opportunities!
Postcode: SK
Employment Type: Full-time
Job Location Type: On-site

Additional Information

Job Designation: Technology - Machine Learning

Work Hours: 34

Qualifications: Degree In Computer Science, Mathematics, Statistics, Engineering, Or A Related Field, Proven Experience In Machine Learning With A Strong Focus On Practical Implementation, Proficiency In Python, Tensorflow, Pytorch, Scikit-learn, Or Similar Libraries, Strong Understanding Of Machine Learning Algorithms, Deep Learning Architectures, And Their Applications, Experience In Deploying Machine Learning Models To Production Environments



Search Tags

Learning

Explore job opportunities for Learning

View Jobs
Machine

Explore job opportunities for Machine

View Jobs
Machine Learning

Explore job opportunities for Machine Learning

View Jobs
TensorFlow

Explore job opportunities for TensorFlow

View Jobs
PyTorch

Explore job opportunities for PyTorch

View Jobs
Deep Learning

Explore job opportunities for Deep Learning

View Jobs